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| a | b/brainDecode/towardMoabbIntegration/temp.ipynb | ||
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| 1 | { |
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| 2 | "cells": [ |
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| 3 | { |
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| 4 | "cell_type": "markdown", |
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| 5 | "metadata": { |
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| 6 | "colab_type": "text", |
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| 7 | "id": "eegpnTbImFUE" |
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| 8 | }, |
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| 9 | "source": [ |
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| 10 | "# Two-Stages Deep Learning Project\n", |
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| 11 | "\n", |
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| 12 | "<p>This project has been developped by the Montreal Hacknight community. It derives from the braindecode framework and is aimed at being integrable into the Moabb project.</p>\n", |
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| 13 | "\n", |
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| 14 | "<p><ul>https://github.com/robintibor/braindecode</ul>\n", |
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| 15 | "<ul>https://github.com/NeuroTechX/moabb</ul></p>\n", |
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| 16 | "\n", |
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| 17 | "<p>This project wouldn't have been possible without the contribution of these people: Arna (...), Justin (...), Yannick Roy, Eamon Egan, (...) and it is currently being supported by Fred Simard (fs@re-ak.com)</p>" |
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| 18 | ] |
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| 19 | }, |
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| 20 | { |
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| 21 | "cell_type": "markdown", |
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| 22 | "metadata": { |
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| 23 | "colab_type": "text", |
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| 24 | "id": "lBXnRujl24VO" |
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| 25 | }, |
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| 26 | "source": [ |
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| 27 | "<p>This project consist in deriving a two-stages training process from the brain decode implementation of a Shallow Convolutional Network. The core motivation is to combine the strenghts of deep learning - that is being one of the most powerful ML algorithms out-there - while grinding down it's fall back - it requires an immense of data.</p>\n", |
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| 28 | "\n", |
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| 29 | "<p>The goal is to develop a method to train the network in two stages:</p>\n", |
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| 30 | "<p><ul>1) Train the network over a large dataset, this training forms some kind of prior over the network</ul>\n", |
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| 31 | "<ul>2) Train the network a second time, this time on the dataset of interest</ul>\n", |
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| 32 | "</p>\n", |
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| 33 | "\n", |
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| 34 | "<p>The premise motivating this approach is that the second training is likely to proceed faster than what is normally required to train a deep net, without sacrificing the performance; and, we suspect that the second training will be able to exploit the specificities of the dataset of interest in a way to surpasses the first training, which was trained on a generalistic dataset.</p>" |
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| 35 | ] |
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| 36 | }, |
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| 37 | { |
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| 38 | "cell_type": "code", |
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| 39 | "execution_count": 0, |
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| 40 | "metadata": { |
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| 41 | "colab": { |
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| 42 | "base_uri": "https://localhost:8080/", |
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| 43 | "height": 136 |
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| 44 | }, |
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| 45 | "colab_type": "code", |
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| 46 | "id": "4ci1qeJ39mY9", |
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| 47 | "outputId": "e7694d42-30cf-4cf4-8ca5-13f17972638a" |
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| 48 | }, |
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| 49 | "outputs": [ |
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| 50 | { |
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| 51 | "name": "stdout", |
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| 52 | "output_type": "stream", |
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| 53 | "text": [ |
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| 54 | "Cloning into 'dl-eeg-playground'...\n", |
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| 55 | "remote: Enumerating objects: 25, done.\u001b[K\n", |
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| 56 | "remote: Counting objects: 100% (25/25), done.\u001b[K\n", |
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| 57 | "remote: Compressing objects: 100% (12/12), done.\u001b[K\n", |
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| 58 | "remote: Total 286 (delta 13), reused 22 (delta 12), pack-reused 261\u001b[K\n", |
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| 59 | "Receiving objects: 100% (286/286), 1.97 MiB | 2.15 MiB/s, done.\n", |
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| 60 | "Resolving deltas: 100% (141/141), done.\n" |
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| 61 | ] |
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| 62 | } |
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| 63 | ], |
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| 64 | "source": [ |
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| 65 | "\"\"\"\n", |
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| 66 | "#\n", |
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| 67 | "# Download the github, which contains the package with the networks\n", |
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| 68 | "#\n", |
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| 69 | "\"\"\"\n", |
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| 70 | "\n", |
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| 71 | "# reset to default base path\n", |
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| 72 | "import os\n", |
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| 73 | "os.chdir('/content/')\n", |
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| 74 | "\n", |
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| 75 | "# if dl-eeg-playground already here, erase\n", |
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| 76 | "!rm -rf dl-eeg-playground\n", |
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| 77 | "\n", |
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| 78 | "# clone dl-eeg-playground and cd to it\n", |
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| 79 | "!git clone https://github.com/NeuroTechX/dl-eeg-playground.git\n", |
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| 80 | "os.chdir('dl-eeg-playground/brainDecode/towardMoabbIntegration')\n" |
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| 81 | ] |
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| 82 | }, |
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| 83 | { |
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| 84 | "cell_type": "code", |
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| 85 | "execution_count": 0, |
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| 86 | "metadata": { |
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| 87 | "colab": { |
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| 88 | "base_uri": "https://localhost:8080/", |
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| 89 | "height": 7721 |
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| 90 | }, |
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| 91 | "colab_type": "code", |
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| 92 | "id": "NSi52lWjPNN4", |
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| 93 | "outputId": "1e0331cb-d3c1-4cc2-fe1c-1f3f9da83396" |
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| 94 | }, |
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| 95 | "outputs": [ |
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| 96 | { |
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| 97 | "name": "stdout", |
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| 98 | "output_type": "stream", |
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| 99 | "text": [ |
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| 100 | "--2018-12-06 23:51:20-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01T.mat\n", |
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| 101 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 102 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 103 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 104 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S01T.mat [following]\n", |
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| 105 | "--2018-12-06 23:51:20-- https://lampx.tugraz.at/~bci/database/002-2014/S01T.mat\n", |
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| 106 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 107 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 108 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 109 | "Length: 39794870 (38M)\n", |
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| 110 | "Saving to: ‘S01T.mat’\n", |
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| 111 | "\n", |
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| 112 | "S01T.mat 100%[===================>] 37.95M 6.83MB/s in 11s \n", |
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| 113 | "\n", |
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| 114 | "2018-12-06 23:51:33 (3.41 MB/s) - ‘S01T.mat’ saved [39794870/39794870]\n", |
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| 115 | "\n", |
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| 116 | "--2018-12-06 23:51:34-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01E.mat\n", |
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| 117 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 118 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 119 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 120 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S01E.mat [following]\n", |
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| 121 | "--2018-12-06 23:51:35-- https://lampx.tugraz.at/~bci/database/002-2014/S01E.mat\n", |
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| 122 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 123 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 124 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 125 | "Length: 23769588 (23M)\n", |
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| 126 | "Saving to: ‘S01E.mat’\n", |
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| 127 | "\n", |
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| 128 | "S01E.mat 100%[===================>] 22.67M 3.98MB/s in 10s \n", |
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| 129 | "\n", |
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| 130 | "2018-12-06 23:51:46 (2.27 MB/s) - ‘S01E.mat’ saved [23769588/23769588]\n", |
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| 131 | "\n", |
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| 132 | "--2018-12-06 23:51:47-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S02T.mat\n", |
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| 133 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 134 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 135 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 136 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S02T.mat [following]\n", |
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| 137 | "--2018-12-06 23:51:47-- https://lampx.tugraz.at/~bci/database/002-2014/S02T.mat\n", |
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| 138 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 139 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 140 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 141 | "Length: 38364523 (37M)\n", |
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| 142 | "Saving to: ‘S02T.mat’\n", |
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| 143 | "\n", |
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| 144 | "S02T.mat 100%[===================>] 36.59M 7.04MB/s in 10s \n", |
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| 145 | "\n", |
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| 146 | "2018-12-06 23:51:59 (3.60 MB/s) - ‘S02T.mat’ saved [38364523/38364523]\n", |
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| 147 | "\n", |
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| 148 | "--2018-12-06 23:52:00-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S02E.mat\n", |
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| 149 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 150 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 151 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 152 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S02E.mat [following]\n", |
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| 153 | "--2018-12-06 23:52:00-- https://lampx.tugraz.at/~bci/database/002-2014/S02E.mat\n", |
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| 154 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 155 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 156 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 157 | "Length: 22998442 (22M)\n", |
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| 158 | "Saving to: ‘S02E.mat’\n", |
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| 159 | "\n", |
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| 160 | "S02E.mat 100%[===================>] 21.93M 3.82MB/s in 8.7s \n", |
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| 161 | "\n", |
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| 162 | "2018-12-06 23:52:10 (2.52 MB/s) - ‘S02E.mat’ saved [22998442/22998442]\n", |
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| 163 | "\n", |
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| 164 | "--2018-12-06 23:52:11-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S03T.mat\n", |
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| 165 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 166 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 167 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 168 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S03T.mat [following]\n", |
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| 169 | "--2018-12-06 23:52:11-- https://lampx.tugraz.at/~bci/database/002-2014/S03T.mat\n", |
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| 170 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 171 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 172 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 173 | "Length: 39739945 (38M)\n", |
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| 174 | "Saving to: ‘S03T.mat’\n", |
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| 175 | "\n", |
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| 176 | "S03T.mat 100%[===================>] 37.90M 7.44MB/s in 11s \n", |
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| 177 | "\n", |
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| 178 | "2018-12-06 23:52:23 (3.51 MB/s) - ‘S03T.mat’ saved [39739945/39739945]\n", |
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| 179 | "\n", |
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| 180 | "--2018-12-06 23:52:25-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S03E.mat\n", |
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| 181 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 182 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 183 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 184 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S03E.mat [following]\n", |
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| 185 | "--2018-12-06 23:52:25-- https://lampx.tugraz.at/~bci/database/002-2014/S03E.mat\n", |
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| 186 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 187 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 188 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 189 | "Length: 23797275 (23M)\n", |
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| 190 | "Saving to: ‘S03E.mat’\n", |
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| 191 | "\n", |
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| 192 | "S03E.mat 100%[===================>] 22.69M 3.86MB/s in 9.7s \n", |
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| 193 | "\n", |
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| 194 | "2018-12-06 23:52:36 (2.34 MB/s) - ‘S03E.mat’ saved [23797275/23797275]\n", |
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| 195 | "\n", |
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| 196 | "--2018-12-06 23:52:37-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S04T.mat\n", |
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| 197 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 198 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 199 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 200 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S04T.mat [following]\n", |
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| 201 | "--2018-12-06 23:52:37-- https://lampx.tugraz.at/~bci/database/002-2014/S04T.mat\n", |
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| 202 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 203 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 204 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 205 | "Length: 39607931 (38M)\n", |
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| 206 | "Saving to: ‘S04T.mat’\n", |
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| 207 | "\n", |
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| 208 | "S04T.mat 100%[===================>] 37.77M 7.19MB/s in 10s \n", |
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| 209 | "\n", |
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| 210 | "2018-12-06 23:52:48 (3.79 MB/s) - ‘S04T.mat’ saved [39607931/39607931]\n", |
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| 211 | "\n", |
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| 212 | "--2018-12-06 23:52:50-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S04E.mat\n", |
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| 213 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 214 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 215 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 216 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S04E.mat [following]\n", |
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| 217 | "--2018-12-06 23:52:50-- https://lampx.tugraz.at/~bci/database/002-2014/S04E.mat\n", |
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| 218 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 219 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 220 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 221 | "Length: 23752764 (23M)\n", |
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| 222 | "Saving to: ‘S04E.mat’\n", |
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| 223 | "\n", |
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| 224 | "S04E.mat 100%[===================>] 22.65M 3.88MB/s in 8.8s \n", |
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| 225 | "\n", |
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| 226 | "2018-12-06 23:53:00 (2.56 MB/s) - ‘S04E.mat’ saved [23752764/23752764]\n", |
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| 227 | "\n", |
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| 228 | "--2018-12-06 23:53:01-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S05T.mat\n", |
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| 229 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 230 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 231 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 232 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S05T.mat [following]\n", |
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| 233 | "--2018-12-06 23:53:02-- https://lampx.tugraz.at/~bci/database/002-2014/S05T.mat\n", |
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| 234 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 235 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 236 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 237 | "Length: 39091212 (37M)\n", |
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| 238 | "Saving to: ‘S05T.mat’\n", |
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| 239 | "\n", |
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| 240 | "S05T.mat 100%[===================>] 37.28M 7.07MB/s in 11s \n", |
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| 241 | "\n", |
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| 242 | "2018-12-06 23:53:13 (3.54 MB/s) - ‘S05T.mat’ saved [39091212/39091212]\n", |
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| 243 | "\n", |
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| 244 | "--2018-12-06 23:53:14-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S05E.mat\n", |
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| 245 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 246 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 247 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 248 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S05E.mat [following]\n", |
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| 249 | "--2018-12-06 23:53:15-- https://lampx.tugraz.at/~bci/database/002-2014/S05E.mat\n", |
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| 250 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 251 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 252 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 253 | "Length: 23628634 (23M)\n", |
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| 254 | "Saving to: ‘S05E.mat’\n", |
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| 255 | "\n", |
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| 256 | "S05E.mat 100%[===================>] 22.53M 3.85MB/s in 10s \n", |
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| 257 | "\n", |
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| 258 | "2018-12-06 23:53:26 (2.22 MB/s) - ‘S05E.mat’ saved [23628634/23628634]\n", |
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| 259 | "\n", |
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| 260 | "--2018-12-06 23:53:27-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S06T.mat\n", |
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| 261 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 262 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 263 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 264 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S06T.mat [following]\n", |
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| 265 | "--2018-12-06 23:53:27-- https://lampx.tugraz.at/~bci/database/002-2014/S06T.mat\n", |
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| 266 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 267 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 268 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 269 | "Length: 40027626 (38M)\n", |
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| 270 | "Saving to: ‘S06T.mat’\n", |
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| 271 | "\n", |
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| 272 | "S06T.mat 100%[===================>] 38.17M 8.20MB/s in 11s \n", |
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| 273 | "\n", |
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| 274 | "2018-12-06 23:53:40 (3.38 MB/s) - ‘S06T.mat’ saved [40027626/40027626]\n", |
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| 275 | "\n", |
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| 276 | "--2018-12-06 23:53:42-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S06E.mat\n", |
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| 277 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 278 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 279 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 280 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S06E.mat [following]\n", |
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| 281 | "--2018-12-06 23:53:43-- https://lampx.tugraz.at/~bci/database/002-2014/S06E.mat\n", |
||
| 282 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 283 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 284 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 285 | "Length: 23850651 (23M)\n", |
||
| 286 | "Saving to: ‘S06E.mat’\n", |
||
| 287 | "\n", |
||
| 288 | "S06E.mat 100%[===================>] 22.75M 3.90MB/s in 9.5s \n", |
||
| 289 | "\n", |
||
| 290 | "2018-12-06 23:53:53 (2.39 MB/s) - ‘S06E.mat’ saved [23850651/23850651]\n", |
||
| 291 | "\n", |
||
| 292 | "--2018-12-06 23:53:54-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S07T.mat\n", |
||
| 293 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 294 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 295 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 296 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S07T.mat [following]\n", |
||
| 297 | "--2018-12-06 23:53:55-- https://lampx.tugraz.at/~bci/database/002-2014/S07T.mat\n", |
||
| 298 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 299 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 300 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 301 | "Length: 40261257 (38M)\n", |
||
| 302 | "Saving to: ‘S07T.mat’\n", |
||
| 303 | "\n", |
||
| 304 | "S07T.mat 100%[===================>] 38.40M 7.25MB/s in 11s \n", |
||
| 305 | "\n", |
||
| 306 | "2018-12-06 23:54:06 (3.63 MB/s) - ‘S07T.mat’ saved [40261257/40261257]\n", |
||
| 307 | "\n", |
||
| 308 | "--2018-12-06 23:54:07-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S07E.mat\n", |
||
| 309 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 310 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 311 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 312 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S07E.mat [following]\n", |
||
| 313 | "--2018-12-06 23:54:08-- https://lampx.tugraz.at/~bci/database/002-2014/S07E.mat\n", |
||
| 314 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 315 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 316 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 317 | "Length: 23997847 (23M)\n", |
||
| 318 | "Saving to: ‘S07E.mat’\n", |
||
| 319 | "\n", |
||
| 320 | "S07E.mat 100%[===================>] 22.89M 3.89MB/s in 9.7s \n", |
||
| 321 | "\n", |
||
| 322 | "2018-12-06 23:54:19 (2.36 MB/s) - ‘S07E.mat’ saved [23997847/23997847]\n", |
||
| 323 | "\n", |
||
| 324 | "--2018-12-06 23:54:20-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S08T.mat\n", |
||
| 325 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 326 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 327 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 328 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S08T.mat [following]\n", |
||
| 329 | "--2018-12-06 23:54:20-- https://lampx.tugraz.at/~bci/database/002-2014/S08T.mat\n", |
||
| 330 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 331 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 332 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 333 | "Length: 39735612 (38M)\n", |
||
| 334 | "Saving to: ‘S08T.mat’\n", |
||
| 335 | "\n", |
||
| 336 | "S08T.mat 100%[===================>] 37.89M 5.59MB/s in 13s \n", |
||
| 337 | "\n", |
||
| 338 | "2018-12-06 23:54:34 (2.99 MB/s) - ‘S08T.mat’ saved [39735612/39735612]\n", |
||
| 339 | "\n", |
||
| 340 | "--2018-12-06 23:54:35-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S08E.mat\n", |
||
| 341 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 342 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 343 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 344 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S08E.mat [following]\n", |
||
| 345 | "--2018-12-06 23:54:35-- https://lampx.tugraz.at/~bci/database/002-2014/S08E.mat\n", |
||
| 346 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 347 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 348 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 349 | "Length: 23791571 (23M)\n", |
||
| 350 | "Saving to: ‘S08E.mat’\n", |
||
| 351 | "\n", |
||
| 352 | "S08E.mat 100%[===================>] 22.69M 3.96MB/s in 9.5s \n", |
||
| 353 | "\n", |
||
| 354 | "2018-12-06 23:54:46 (2.40 MB/s) - ‘S08E.mat’ saved [23791571/23791571]\n", |
||
| 355 | "\n", |
||
| 356 | "--2018-12-06 23:54:47-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S09T.mat\n", |
||
| 357 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 358 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 359 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 360 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S09T.mat [following]\n", |
||
| 361 | "--2018-12-06 23:54:47-- https://lampx.tugraz.at/~bci/database/002-2014/S09T.mat\n", |
||
| 362 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 363 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 364 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 365 | "Length: 39805150 (38M)\n", |
||
| 366 | "Saving to: ‘S09T.mat’\n", |
||
| 367 | "\n", |
||
| 368 | "S09T.mat 100%[===================>] 37.96M 7.31MB/s in 11s \n", |
||
| 369 | "\n", |
||
| 370 | "2018-12-06 23:54:59 (3.46 MB/s) - ‘S09T.mat’ saved [39805150/39805150]\n", |
||
| 371 | "\n", |
||
| 372 | "--2018-12-06 23:55:00-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S09E.mat\n", |
||
| 373 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 374 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 375 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 376 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S09E.mat [following]\n", |
||
| 377 | "--2018-12-06 23:55:01-- https://lampx.tugraz.at/~bci/database/002-2014/S09E.mat\n", |
||
| 378 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 379 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 380 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 381 | "Length: 23610622 (23M)\n", |
||
| 382 | "Saving to: ‘S09E.mat’\n", |
||
| 383 | "\n", |
||
| 384 | "S09E.mat 100%[===================>] 22.52M 3.96MB/s in 9.4s \n", |
||
| 385 | "\n", |
||
| 386 | "2018-12-06 23:55:11 (2.39 MB/s) - ‘S09E.mat’ saved [23610622/23610622]\n", |
||
| 387 | "\n", |
||
| 388 | "--2018-12-06 23:55:12-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S10T.mat\n", |
||
| 389 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 390 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 391 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 392 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S10T.mat [following]\n", |
||
| 393 | "--2018-12-06 23:55:13-- https://lampx.tugraz.at/~bci/database/002-2014/S10T.mat\n", |
||
| 394 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 395 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 396 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 397 | "Length: 39871971 (38M)\n", |
||
| 398 | "Saving to: ‘S10T.mat’\n", |
||
| 399 | "\n", |
||
| 400 | "S10T.mat 100%[===================>] 38.02M 3.44MB/s in 17s \n", |
||
| 401 | "\n", |
||
| 402 | "2018-12-06 23:55:31 (2.22 MB/s) - ‘S10T.mat’ saved [39871971/39871971]\n", |
||
| 403 | "\n", |
||
| 404 | "--2018-12-06 23:55:32-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S10E.mat\n", |
||
| 405 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 406 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 407 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 408 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S10E.mat [following]\n", |
||
| 409 | "--2018-12-06 23:55:32-- https://lampx.tugraz.at/~bci/database/002-2014/S10E.mat\n", |
||
| 410 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 411 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 412 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 413 | "Length: 23750112 (23M)\n", |
||
| 414 | "Saving to: ‘S10E.mat’\n", |
||
| 415 | "\n", |
||
| 416 | "S10E.mat 100%[===================>] 22.65M 3.88MB/s in 9.4s \n", |
||
| 417 | "\n", |
||
| 418 | "2018-12-06 23:55:43 (2.42 MB/s) - ‘S10E.mat’ saved [23750112/23750112]\n", |
||
| 419 | "\n", |
||
| 420 | "--2018-12-06 23:55:43-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S11T.mat\n", |
||
| 421 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 422 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 423 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 424 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S11T.mat [following]\n", |
||
| 425 | "--2018-12-06 23:55:44-- https://lampx.tugraz.at/~bci/database/002-2014/S11T.mat\n", |
||
| 426 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 427 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 428 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 429 | "Length: 40140184 (38M)\n", |
||
| 430 | "Saving to: ‘S11T.mat’\n", |
||
| 431 | "\n", |
||
| 432 | "S11T.mat 100%[===================>] 38.28M 3.33MB/s in 24s \n", |
||
| 433 | "\n", |
||
| 434 | "2018-12-06 23:56:09 (1.58 MB/s) - ‘S11T.mat’ saved [40140184/40140184]\n", |
||
| 435 | "\n", |
||
| 436 | "--2018-12-06 23:56:10-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S11E.mat\n", |
||
| 437 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 438 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 439 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 440 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S11E.mat [following]\n", |
||
| 441 | "--2018-12-06 23:56:11-- https://lampx.tugraz.at/~bci/database/002-2014/S11E.mat\n", |
||
| 442 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 443 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 444 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 445 | "Length: 24171700 (23M)\n", |
||
| 446 | "Saving to: ‘S11E.mat’\n", |
||
| 447 | "\n", |
||
| 448 | "S11E.mat 100%[===================>] 23.05M 3.95MB/s in 10s \n", |
||
| 449 | "\n", |
||
| 450 | "2018-12-06 23:56:22 (2.23 MB/s) - ‘S11E.mat’ saved [24171700/24171700]\n", |
||
| 451 | "\n", |
||
| 452 | "--2018-12-06 23:56:23-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S12T.mat\n", |
||
| 453 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 454 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 455 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 456 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S12T.mat [following]\n", |
||
| 457 | "--2018-12-06 23:56:24-- https://lampx.tugraz.at/~bci/database/002-2014/S12T.mat\n", |
||
| 458 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 459 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 460 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 461 | "Length: 40093093 (38M)\n", |
||
| 462 | "Saving to: ‘S12T.mat’\n", |
||
| 463 | "\n", |
||
| 464 | "S12T.mat 100%[===================>] 38.24M 7.46MB/s in 11s \n", |
||
| 465 | "\n", |
||
| 466 | "2018-12-06 23:56:35 (3.60 MB/s) - ‘S12T.mat’ saved [40093093/40093093]\n", |
||
| 467 | "\n", |
||
| 468 | "--2018-12-06 23:56:36-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S12E.mat\n", |
||
| 469 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 470 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 471 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 472 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S12E.mat [following]\n", |
||
| 473 | "--2018-12-06 23:56:37-- https://lampx.tugraz.at/~bci/database/002-2014/S12E.mat\n", |
||
| 474 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 475 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 476 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 477 | "Length: 23905075 (23M)\n", |
||
| 478 | "Saving to: ‘S12E.mat’\n", |
||
| 479 | "\n", |
||
| 480 | "S12E.mat 100%[===================>] 22.80M 3.92MB/s in 10s \n", |
||
| 481 | "\n", |
||
| 482 | "2018-12-06 23:56:48 (2.26 MB/s) - ‘S12E.mat’ saved [23905075/23905075]\n", |
||
| 483 | "\n", |
||
| 484 | "--2018-12-06 23:56:49-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S13T.mat\n", |
||
| 485 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 486 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 487 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 488 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S13T.mat [following]\n", |
||
| 489 | "--2018-12-06 23:56:49-- https://lampx.tugraz.at/~bci/database/002-2014/S13T.mat\n", |
||
| 490 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 491 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 492 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 493 | "Length: 39819174 (38M)\n", |
||
| 494 | "Saving to: ‘S13T.mat’\n", |
||
| 495 | "\n", |
||
| 496 | "S13T.mat 100%[===================>] 37.97M 7.05MB/s in 11s \n", |
||
| 497 | "\n", |
||
| 498 | "2018-12-06 23:57:01 (3.57 MB/s) - ‘S13T.mat’ saved [39819174/39819174]\n", |
||
| 499 | "\n", |
||
| 500 | "--2018-12-06 23:57:02-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S13E.mat\n", |
||
| 501 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 502 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 503 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 504 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S13E.mat [following]\n", |
||
| 505 | "--2018-12-06 23:57:02-- https://lampx.tugraz.at/~bci/database/002-2014/S13E.mat\n", |
||
| 506 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 507 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 508 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 509 | "Length: 23669359 (23M)\n", |
||
| 510 | "Saving to: ‘S13E.mat’\n", |
||
| 511 | "\n", |
||
| 512 | "S13E.mat 100%[===================>] 22.57M 3.94MB/s in 9.7s \n", |
||
| 513 | "\n", |
||
| 514 | "2018-12-06 23:57:13 (2.33 MB/s) - ‘S13E.mat’ saved [23669359/23669359]\n", |
||
| 515 | "\n", |
||
| 516 | "--2018-12-06 23:57:14-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S14T.mat\n", |
||
| 517 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 518 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 519 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 520 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S14T.mat [following]\n", |
||
| 521 | "--2018-12-06 23:57:15-- https://lampx.tugraz.at/~bci/database/002-2014/S14T.mat\n", |
||
| 522 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 523 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 524 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 525 | "Length: 39859134 (38M)\n", |
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| 526 | "Saving to: ‘S14T.mat’\n", |
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| 527 | "\n", |
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| 528 | "S14T.mat 100%[===================>] 38.01M 6.97MB/s in 12s \n", |
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| 529 | "\n", |
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| 530 | "2018-12-06 23:57:28 (3.25 MB/s) - ‘S14T.mat’ saved [39859134/39859134]\n", |
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| 531 | "\n", |
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| 532 | "--2018-12-06 23:57:29-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S14E.mat\n", |
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| 533 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 534 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 535 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 536 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S14E.mat [following]\n", |
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| 537 | "--2018-12-06 23:57:29-- https://lampx.tugraz.at/~bci/database/002-2014/S14E.mat\n", |
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| 538 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 539 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 540 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 541 | "Length: 23970887 (23M)\n", |
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| 542 | "Saving to: ‘S14E.mat’\n", |
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| 543 | "\n", |
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| 544 | "S14E.mat 100%[===================>] 22.86M 3.95MB/s in 9.3s \n", |
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| 545 | "\n", |
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| 546 | "2018-12-06 23:57:40 (2.46 MB/s) - ‘S14E.mat’ saved [23970887/23970887]\n", |
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| 547 | "\n", |
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| 548 | "tcmalloc: large alloc 1073750016 bytes == 0x5bf96000 @ 0x7f2fcd6b42a4 0x591a07 0x5b5d56 0x502e9a 0x506859 0x502209 0x502f3d 0x506859 0x504c28 0x502540 0x502f3d 0x506859 0x504c28 0x502540 0x502f3d 0x506859 0x504c28 0x502540 0x502f3d 0x507641 0x502209 0x502f3d 0x506859 0x504c28 0x502540 0x502f3d 0x507641 0x504c28 0x502540 0x502f3d 0x507641\n", |
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| 549 | "\n", |
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| 550 | "(2240, 15, 3584)\n", |
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| 551 | "(2240,)\n" |
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| 552 | ] |
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| 553 | } |
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| 554 | ], |
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| 555 | "source": [ |
||
| 556 | "#\n", |
||
| 557 | "# Download the whole BNCI 002-2014 dataset\n", |
||
| 558 | "#\n", |
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| 559 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01T.mat\n", |
||
| 560 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01E.mat\n", |
||
| 561 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S02T.mat\n", |
||
| 562 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S02E.mat\n", |
||
| 563 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S03T.mat\n", |
||
| 564 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S03E.mat\n", |
||
| 565 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S04T.mat\n", |
||
| 566 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S04E.mat\n", |
||
| 567 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S05T.mat\n", |
||
| 568 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S05E.mat\n", |
||
| 569 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S06T.mat\n", |
||
| 570 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S06E.mat\n", |
||
| 571 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S07T.mat\n", |
||
| 572 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S07E.mat\n", |
||
| 573 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S08T.mat\n", |
||
| 574 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S08E.mat\n", |
||
| 575 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S09T.mat\n", |
||
| 576 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S09E.mat\n", |
||
| 577 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S10T.mat\n", |
||
| 578 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S10E.mat\n", |
||
| 579 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S11T.mat\n", |
||
| 580 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S11E.mat\n", |
||
| 581 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S12T.mat\n", |
||
| 582 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S12E.mat\n", |
||
| 583 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S13T.mat\n", |
||
| 584 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S13E.mat\n", |
||
| 585 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S14T.mat\n", |
||
| 586 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S14E.mat\n", |
||
| 587 | "\n", |
||
| 588 | "# move files into a dedicated folder\n", |
||
| 589 | "!mkdir BBCIData\n", |
||
| 590 | "!mv *.mat BBCIData\n", |
||
| 591 | "\n", |
||
| 592 | "#install brain decode\n", |
||
| 593 | "!pip install braindecode -q\n", |
||
| 594 | "\n", |
||
| 595 | "# install pytorch\n", |
||
| 596 | "# ref: http://pytorch.org/\n", |
||
| 597 | "from os import path\n", |
||
| 598 | "from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag\n", |
||
| 599 | "platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())\n", |
||
| 600 | "\n", |
||
| 601 | "accelerator = 'cu80' if path.exists('/opt/bin/nvidia-smi') else 'cpu'\n", |
||
| 602 | "\n", |
||
| 603 | "#!pip install -q http://download.pytorch.org/whl/{accelerator}/torch-0.3.0.post4-{platform}-linux_x86_64.whl torchvision\n", |
||
| 604 | "!pip install -q http://download.pytorch.org/whl/{accelerator}/torch-0.4.0-{platform}-linux_x86_64.whl torchvision\n", |
||
| 605 | "# cu91/torch-0.4.0-cp36-cp36m-linux_x86_64.whl\n", |
||
| 606 | "import torch\n", |
||
| 607 | "\n", |
||
| 608 | "import scipy.io as sio\n", |
||
| 609 | "import numpy as np\n", |
||
| 610 | "from os import listdir\n", |
||
| 611 | "from os.path import isfile, join\n", |
||
| 612 | "\n", |
||
| 613 | "# prepare data containers\n", |
||
| 614 | "y = []\n", |
||
| 615 | "X = []\n", |
||
| 616 | "\n", |
||
| 617 | "\"\"\"\n", |
||
| 618 | "Now, let's load data.\n", |
||
| 619 | "\n", |
||
| 620 | "We read the file for the desired subject, and parse the data to extract:\n", |
||
| 621 | "- samplingRate\n", |
||
| 622 | "- trialLength\n", |
||
| 623 | "- X, a M x N x K matrix, which stands for trial x chan x samples\n", |
||
| 624 | " - the actual values are 160 x 15 x 2560\n", |
||
| 625 | "- y, a M vector containing the labels {0,1}\n", |
||
| 626 | "\n", |
||
| 627 | "ref: Dataset description: https://lampx.tugraz.at/~bci/database/002-2014/description.pdf\n", |
||
| 628 | "\"\"\"\n", |
||
| 629 | "\n", |
||
| 630 | "folder = \"BBCIData\"\n", |
||
| 631 | "\n", |
||
| 632 | "for f in listdir(folder):\n", |
||
| 633 | " # read file\n", |
||
| 634 | " d1T = sio.loadmat(folder + \"/\" + f)\n", |
||
| 635 | " \n", |
||
| 636 | " samplingRate = d1T['data'][0][0][0][0][3][0][0]\n", |
||
| 637 | " trialLength = 7*samplingRate\n", |
||
| 638 | "\n", |
||
| 639 | " # run through all training runs\n", |
||
| 640 | " for run in range(len(d1T['data'][0])):\n", |
||
| 641 | " y.append(d1T['data'][0][run][0][0][2][0]) # labels\n", |
||
| 642 | " timestamps = d1T['data'][0][run][0][0][1][0] # timestamps\n", |
||
| 643 | " rawData = d1T['data'][0][run][0][0][0].transpose() # chan x data\n", |
||
| 644 | "\n", |
||
| 645 | " # parse out data based on timestamps\n", |
||
| 646 | " for start in timestamps:\n", |
||
| 647 | " end = start + trialLength\n", |
||
| 648 | " X.append(rawData[:,start:end]) #15 x 2560\n", |
||
| 649 | "\n", |
||
| 650 | " del rawData\n", |
||
| 651 | " del d1T\n", |
||
| 652 | "\n", |
||
| 653 | "# arrange data into num7py arrays\n", |
||
| 654 | "# also torch expect float32 for samples\n", |
||
| 655 | "# and int64 for labels {0,1}\n", |
||
| 656 | "X = np.array(X).astype(np.float32)\n", |
||
| 657 | "y = (np.array(y).flatten()-1).astype(np.int64)\n", |
||
| 658 | "print()\n", |
||
| 659 | "print(X.shape)\n", |
||
| 660 | "print(y.shape)\n", |
||
| 661 | "\n", |
||
| 662 | "\n", |
||
| 663 | "# rand permute dataset\n", |
||
| 664 | "idx = np.random.permutation(X.shape[0])\n", |
||
| 665 | "\n", |
||
| 666 | "X = X[idx,:,:]\n", |
||
| 667 | "y = y[idx]" |
||
| 668 | ] |
||
| 669 | }, |
||
| 670 | { |
||
| 671 | "cell_type": "code", |
||
| 672 | "execution_count": 0, |
||
| 673 | "metadata": { |
||
| 674 | "colab": { |
||
| 675 | "base_uri": "https://localhost:8080/", |
||
| 676 | "height": 5168 |
||
| 677 | }, |
||
| 678 | "colab_type": "code", |
||
| 679 | "id": "6PUAO5bSPfN3", |
||
| 680 | "outputId": "3ea68044-ddfd-4de8-b6b7-f08939a490f3" |
||
| 681 | }, |
||
| 682 | "outputs": [ |
||
| 683 | { |
||
| 684 | "name": "stdout", |
||
| 685 | "output_type": "stream", |
||
| 686 | "text": [ |
||
| 687 | "Epoch 0\n", |
||
| 688 | "Train Loss: 2.08115\n", |
||
| 689 | "Train Accuracy: 49.6%\n", |
||
| 690 | "Test Loss: 2.04731\n", |
||
| 691 | "Test Accuracy: 52.1%\n", |
||
| 692 | "Epoch 1\n", |
||
| 693 | "Train Loss: 0.75969\n", |
||
| 694 | "Train Accuracy: 50.4%\n", |
||
| 695 | "Test Loss: 0.75388\n", |
||
| 696 | "Test Accuracy: 53.2%\n", |
||
| 697 | "Epoch 2\n", |
||
| 698 | "Train Loss: 1.25856\n", |
||
| 699 | "Train Accuracy: 49.6%\n", |
||
| 700 | "Test Loss: 1.23456\n", |
||
| 701 | "Test Accuracy: 52.1%\n", |
||
| 702 | "Epoch 3\n", |
||
| 703 | "Train Loss: 0.70035\n", |
||
| 704 | "Train Accuracy: 56.2%\n", |
||
| 705 | "Test Loss: 0.72591\n", |
||
| 706 | "Test Accuracy: 53.9%\n", |
||
| 707 | "Epoch 4\n", |
||
| 708 | "Train Loss: 0.69096\n", |
||
| 709 | "Train Accuracy: 55.5%\n", |
||
| 710 | "Test Loss: 0.72498\n", |
||
| 711 | "Test Accuracy: 51.1%\n", |
||
| 712 | "Epoch 5\n", |
||
| 713 | "Train Loss: 0.67922\n", |
||
| 714 | "Train Accuracy: 56.9%\n", |
||
| 715 | "Test Loss: 0.72395\n", |
||
| 716 | "Test Accuracy: 52.5%\n", |
||
| 717 | "Epoch 6\n", |
||
| 718 | "Train Loss: 0.68005\n", |
||
| 719 | "Train Accuracy: 56.7%\n", |
||
| 720 | "Test Loss: 0.72818\n", |
||
| 721 | "Test Accuracy: 50.4%\n", |
||
| 722 | "Epoch 7\n", |
||
| 723 | "Train Loss: 0.66926\n", |
||
| 724 | "Train Accuracy: 58.4%\n", |
||
| 725 | "Test Loss: 0.70863\n", |
||
| 726 | "Test Accuracy: 52.9%\n", |
||
| 727 | "Epoch 8\n", |
||
| 728 | "Train Loss: 0.65986\n", |
||
| 729 | "Train Accuracy: 60.5%\n", |
||
| 730 | "Test Loss: 0.69376\n", |
||
| 731 | "Test Accuracy: 50.7%\n", |
||
| 732 | "Epoch 9\n", |
||
| 733 | "Train Loss: 0.65886\n", |
||
| 734 | "Train Accuracy: 60.8%\n", |
||
| 735 | "Test Loss: 0.70577\n", |
||
| 736 | "Test Accuracy: 50.7%\n", |
||
| 737 | "Epoch 10\n", |
||
| 738 | "Train Loss: 0.73277\n", |
||
| 739 | "Train Accuracy: 52.5%\n", |
||
| 740 | "Test Loss: 0.80172\n", |
||
| 741 | "Test Accuracy: 48.9%\n", |
||
| 742 | "Epoch 11\n", |
||
| 743 | "Train Loss: 0.68138\n", |
||
| 744 | "Train Accuracy: 57.2%\n", |
||
| 745 | "Test Loss: 0.73720\n", |
||
| 746 | "Test Accuracy: 52.1%\n", |
||
| 747 | "Epoch 12\n", |
||
| 748 | "Train Loss: 0.72220\n", |
||
| 749 | "Train Accuracy: 53.3%\n", |
||
| 750 | "Test Loss: 0.75291\n", |
||
| 751 | "Test Accuracy: 51.8%\n", |
||
| 752 | "Epoch 13\n", |
||
| 753 | "Train Loss: 0.60971\n", |
||
| 754 | "Train Accuracy: 66.5%\n", |
||
| 755 | "Test Loss: 0.66757\n", |
||
| 756 | "Test Accuracy: 58.6%\n", |
||
| 757 | "Epoch 14\n", |
||
| 758 | "Train Loss: 0.58040\n", |
||
| 759 | "Train Accuracy: 69.1%\n", |
||
| 760 | "Test Loss: 0.63830\n", |
||
| 761 | "Test Accuracy: 63.6%\n", |
||
| 762 | "Epoch 15\n", |
||
| 763 | "Train Loss: 0.79680\n", |
||
| 764 | "Train Accuracy: 58.9%\n", |
||
| 765 | "Test Loss: 0.88658\n", |
||
| 766 | "Test Accuracy: 55.7%\n", |
||
| 767 | "Epoch 16\n", |
||
| 768 | "Train Loss: 0.54808\n", |
||
| 769 | "Train Accuracy: 71.7%\n", |
||
| 770 | "Test Loss: 0.60998\n", |
||
| 771 | "Test Accuracy: 66.1%\n", |
||
| 772 | "Epoch 17\n", |
||
| 773 | "Train Loss: 0.54252\n", |
||
| 774 | "Train Accuracy: 71.9%\n", |
||
| 775 | "Test Loss: 0.60957\n", |
||
| 776 | "Test Accuracy: 66.4%\n", |
||
| 777 | "Epoch 18\n", |
||
| 778 | "Train Loss: 0.51975\n", |
||
| 779 | "Train Accuracy: 74.1%\n", |
||
| 780 | "Test Loss: 0.58788\n", |
||
| 781 | "Test Accuracy: 66.8%\n", |
||
| 782 | "Epoch 19\n", |
||
| 783 | "Train Loss: 0.59082\n", |
||
| 784 | "Train Accuracy: 65.0%\n", |
||
| 785 | "Test Loss: 0.65070\n", |
||
| 786 | "Test Accuracy: 60.7%\n", |
||
| 787 | "Epoch 20\n", |
||
| 788 | "Train Loss: 0.60372\n", |
||
| 789 | "Train Accuracy: 64.6%\n", |
||
| 790 | "Test Loss: 0.65467\n", |
||
| 791 | "Test Accuracy: 62.9%\n", |
||
| 792 | "Epoch 21\n", |
||
| 793 | "Train Loss: 0.50760\n", |
||
| 794 | "Train Accuracy: 74.5%\n", |
||
| 795 | "Test Loss: 0.58017\n", |
||
| 796 | "Test Accuracy: 70.7%\n", |
||
| 797 | "Epoch 22\n", |
||
| 798 | "Train Loss: 0.51147\n", |
||
| 799 | "Train Accuracy: 73.1%\n", |
||
| 800 | "Test Loss: 0.58066\n", |
||
| 801 | "Test Accuracy: 67.5%\n", |
||
| 802 | "Epoch 23\n", |
||
| 803 | "Train Loss: 0.48559\n", |
||
| 804 | "Train Accuracy: 77.7%\n", |
||
| 805 | "Test Loss: 0.58163\n", |
||
| 806 | "Test Accuracy: 69.3%\n", |
||
| 807 | "Epoch 24\n", |
||
| 808 | "Train Loss: 0.47749\n", |
||
| 809 | "Train Accuracy: 77.8%\n", |
||
| 810 | "Test Loss: 0.56588\n", |
||
| 811 | "Test Accuracy: 70.0%\n", |
||
| 812 | "Epoch 25\n", |
||
| 813 | "Train Loss: 0.52517\n", |
||
| 814 | "Train Accuracy: 72.2%\n", |
||
| 815 | "Test Loss: 0.62275\n", |
||
| 816 | "Test Accuracy: 64.6%\n", |
||
| 817 | "Epoch 26\n", |
||
| 818 | "Train Loss: 0.47597\n", |
||
| 819 | "Train Accuracy: 77.8%\n", |
||
| 820 | "Test Loss: 0.57183\n", |
||
| 821 | "Test Accuracy: 69.3%\n", |
||
| 822 | "Epoch 27\n", |
||
| 823 | "Train Loss: 1.09261\n", |
||
| 824 | "Train Accuracy: 60.1%\n", |
||
| 825 | "Test Loss: 1.26858\n", |
||
| 826 | "Test Accuracy: 55.0%\n", |
||
| 827 | "Epoch 28\n", |
||
| 828 | "Train Loss: 0.47144\n", |
||
| 829 | "Train Accuracy: 78.5%\n", |
||
| 830 | "Test Loss: 0.59414\n", |
||
| 831 | "Test Accuracy: 67.1%\n", |
||
| 832 | "Epoch 29\n", |
||
| 833 | "Train Loss: 0.46306\n", |
||
| 834 | "Train Accuracy: 78.4%\n", |
||
| 835 | "Test Loss: 0.57667\n", |
||
| 836 | "Test Accuracy: 69.3%\n", |
||
| 837 | "Epoch 30\n", |
||
| 838 | "Train Loss: 0.45248\n", |
||
| 839 | "Train Accuracy: 79.9%\n", |
||
| 840 | "Test Loss: 0.58262\n", |
||
| 841 | "Test Accuracy: 68.6%\n", |
||
| 842 | "Epoch 31\n", |
||
| 843 | "Train Loss: 0.77807\n", |
||
| 844 | "Train Accuracy: 65.4%\n", |
||
| 845 | "Test Loss: 0.92063\n", |
||
| 846 | "Test Accuracy: 61.4%\n", |
||
| 847 | "Epoch 32\n", |
||
| 848 | "Train Loss: 0.47432\n", |
||
| 849 | "Train Accuracy: 75.5%\n", |
||
| 850 | "Test Loss: 0.57162\n", |
||
| 851 | "Test Accuracy: 70.0%\n", |
||
| 852 | "Epoch 33\n", |
||
| 853 | "Train Loss: 0.46333\n", |
||
| 854 | "Train Accuracy: 77.9%\n", |
||
| 855 | "Test Loss: 0.58067\n", |
||
| 856 | "Test Accuracy: 69.6%\n", |
||
| 857 | "Epoch 34\n", |
||
| 858 | "Train Loss: 0.44035\n", |
||
| 859 | "Train Accuracy: 80.1%\n", |
||
| 860 | "Test Loss: 0.58571\n", |
||
| 861 | "Test Accuracy: 68.9%\n", |
||
| 862 | "Epoch 35\n", |
||
| 863 | "Train Loss: 0.45210\n", |
||
| 864 | "Train Accuracy: 79.2%\n", |
||
| 865 | "Test Loss: 0.56440\n", |
||
| 866 | "Test Accuracy: 70.4%\n", |
||
| 867 | "Epoch 36\n", |
||
| 868 | "Train Loss: 0.49392\n", |
||
| 869 | "Train Accuracy: 74.8%\n", |
||
| 870 | "Test Loss: 0.59989\n", |
||
| 871 | "Test Accuracy: 68.6%\n", |
||
| 872 | "Epoch 37\n", |
||
| 873 | "Train Loss: 0.51339\n", |
||
| 874 | "Train Accuracy: 74.3%\n", |
||
| 875 | "Test Loss: 0.63082\n", |
||
| 876 | "Test Accuracy: 68.6%\n", |
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| 877 | "Epoch 38\n", |
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| 878 | "Train Loss: 0.43237\n", |
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| 879 | "Train Accuracy: 80.3%\n", |
||
| 880 | "Test Loss: 0.56310\n", |
||
| 881 | "Test Accuracy: 68.9%\n", |
||
| 882 | "Epoch 39\n", |
||
| 883 | "Train Loss: 0.43999\n", |
||
| 884 | "Train Accuracy: 80.1%\n", |
||
| 885 | "Test Loss: 0.55284\n", |
||
| 886 | "Test Accuracy: 70.7%\n", |
||
| 887 | "Epoch 40\n", |
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| 888 | "Train Loss: 0.50042\n", |
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| 889 | "Train Accuracy: 74.8%\n", |
||
| 890 | "Test Loss: 0.59341\n", |
||
| 891 | "Test Accuracy: 70.7%\n", |
||
| 892 | "Epoch 41\n", |
||
| 893 | "Train Loss: 0.71897\n", |
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| 894 | "Train Accuracy: 61.5%\n", |
||
| 895 | "Test Loss: 0.81649\n", |
||
| 896 | "Test Accuracy: 59.6%\n", |
||
| 897 | "Epoch 42\n", |
||
| 898 | "Train Loss: 0.47271\n", |
||
| 899 | "Train Accuracy: 75.2%\n", |
||
| 900 | "Test Loss: 0.56315\n", |
||
| 901 | "Test Accuracy: 70.4%\n", |
||
| 902 | "Epoch 43\n", |
||
| 903 | "Train Loss: 0.41700\n", |
||
| 904 | "Train Accuracy: 81.6%\n", |
||
| 905 | "Test Loss: 0.55485\n", |
||
| 906 | "Test Accuracy: 72.5%\n", |
||
| 907 | "Epoch 44\n", |
||
| 908 | "Train Loss: 0.84395\n", |
||
| 909 | "Train Accuracy: 58.4%\n", |
||
| 910 | "Test Loss: 0.91747\n", |
||
| 911 | "Test Accuracy: 56.8%\n", |
||
| 912 | "Epoch 45\n", |
||
| 913 | "Train Loss: 0.42418\n", |
||
| 914 | "Train Accuracy: 80.1%\n", |
||
| 915 | "Test Loss: 0.56180\n", |
||
| 916 | "Test Accuracy: 70.0%\n", |
||
| 917 | "Epoch 46\n", |
||
| 918 | "Train Loss: 0.41274\n", |
||
| 919 | "Train Accuracy: 81.2%\n", |
||
| 920 | "Test Loss: 0.54673\n", |
||
| 921 | "Test Accuracy: 68.9%\n", |
||
| 922 | "Epoch 47\n", |
||
| 923 | "Train Loss: 0.83730\n", |
||
| 924 | "Train Accuracy: 57.0%\n", |
||
| 925 | "Test Loss: 0.87217\n", |
||
| 926 | "Test Accuracy: 57.1%\n", |
||
| 927 | "Epoch 48\n", |
||
| 928 | "Train Loss: 0.44743\n", |
||
| 929 | "Train Accuracy: 77.1%\n", |
||
| 930 | "Test Loss: 0.55114\n", |
||
| 931 | "Test Accuracy: 71.8%\n", |
||
| 932 | "Epoch 49\n", |
||
| 933 | "Train Loss: 0.41979\n", |
||
| 934 | "Train Accuracy: 80.4%\n", |
||
| 935 | "Test Loss: 0.57880\n", |
||
| 936 | "Test Accuracy: 68.2%\n", |
||
| 937 | "Epoch 50\n", |
||
| 938 | "Train Loss: 0.40166\n", |
||
| 939 | "Train Accuracy: 82.7%\n", |
||
| 940 | "Test Loss: 0.55398\n", |
||
| 941 | "Test Accuracy: 71.1%\n", |
||
| 942 | "Epoch 51\n", |
||
| 943 | "Train Loss: 0.85434\n", |
||
| 944 | "Train Accuracy: 59.0%\n", |
||
| 945 | "Test Loss: 0.95994\n", |
||
| 946 | "Test Accuracy: 57.1%\n", |
||
| 947 | "Epoch 52\n", |
||
| 948 | "Train Loss: 0.42632\n", |
||
| 949 | "Train Accuracy: 80.4%\n", |
||
| 950 | "Test Loss: 0.57108\n", |
||
| 951 | "Test Accuracy: 71.4%\n", |
||
| 952 | "Epoch 53\n", |
||
| 953 | "Train Loss: 0.99225\n", |
||
| 954 | "Train Accuracy: 55.3%\n", |
||
| 955 | "Test Loss: 1.05140\n", |
||
| 956 | "Test Accuracy: 55.4%\n", |
||
| 957 | "Epoch 54\n", |
||
| 958 | "Train Loss: 0.40169\n", |
||
| 959 | "Train Accuracy: 81.6%\n", |
||
| 960 | "Test Loss: 0.56904\n", |
||
| 961 | "Test Accuracy: 68.2%\n", |
||
| 962 | "Epoch 55\n", |
||
| 963 | "Train Loss: 0.39920\n", |
||
| 964 | "Train Accuracy: 82.2%\n", |
||
| 965 | "Test Loss: 0.59583\n", |
||
| 966 | "Test Accuracy: 69.6%\n", |
||
| 967 | "Epoch 56\n", |
||
| 968 | "Train Loss: 0.51478\n", |
||
| 969 | "Train Accuracy: 71.3%\n", |
||
| 970 | "Test Loss: 0.65656\n", |
||
| 971 | "Test Accuracy: 65.4%\n", |
||
| 972 | "Epoch 57\n", |
||
| 973 | "Train Loss: 0.39562\n", |
||
| 974 | "Train Accuracy: 82.7%\n", |
||
| 975 | "Test Loss: 0.60420\n", |
||
| 976 | "Test Accuracy: 68.9%\n", |
||
| 977 | "Epoch 58\n", |
||
| 978 | "Train Loss: 0.45859\n", |
||
| 979 | "Train Accuracy: 76.2%\n", |
||
| 980 | "Test Loss: 0.59354\n", |
||
| 981 | "Test Accuracy: 70.0%\n", |
||
| 982 | "Epoch 59\n", |
||
| 983 | "Train Loss: 0.53055\n", |
||
| 984 | "Train Accuracy: 70.7%\n", |
||
| 985 | "Test Loss: 0.69716\n", |
||
| 986 | "Test Accuracy: 64.6%\n" |
||
| 987 | ] |
||
| 988 | }, |
||
| 989 | { |
||
| 990 | "data": { |
||
| 991 | "text/plain": [ |
||
| 992 | "ShallowFBCSPNet_GeneralTrainer(filter_time_length=75, n_filters_spat=5,\n", |
||
| 993 | " n_filters_time=10, nb_epoch=60, pool_time_length=60,\n", |
||
| 994 | " pool_time_stride=30)" |
||
| 995 | ] |
||
| 996 | }, |
||
| 997 | "execution_count": 8, |
||
| 998 | "metadata": { |
||
| 999 | "tags": [] |
||
| 1000 | }, |
||
| 1001 | "output_type": "execute_result" |
||
| 1002 | } |
||
| 1003 | ], |
||
| 1004 | "source": [ |
||
| 1005 | "\n", |
||
| 1006 | "# load the general network Trainer\n", |
||
| 1007 | "from brainDecodeSKLearnWrapper.ShallowFBCSPNet_GeneralTrainer import ShallowFBCSPNet_GeneralTrainer\n", |
||
| 1008 | "\n", |
||
| 1009 | "classifier = ShallowFBCSPNet_GeneralTrainer(nb_epoch=60)\n", |
||
| 1010 | "classifier.fit(X,y)\n" |
||
| 1011 | ] |
||
| 1012 | }, |
||
| 1013 | { |
||
| 1014 | "cell_type": "code", |
||
| 1015 | "execution_count": 0, |
||
| 1016 | "metadata": { |
||
| 1017 | "colab": {}, |
||
| 1018 | "colab_type": "code", |
||
| 1019 | "id": "OdkIjcgr1qmh" |
||
| 1020 | }, |
||
| 1021 | "outputs": [], |
||
| 1022 | "source": [] |
||
| 1023 | }, |
||
| 1024 | { |
||
| 1025 | "cell_type": "code", |
||
| 1026 | "execution_count": 0, |
||
| 1027 | "metadata": { |
||
| 1028 | "colab": { |
||
| 1029 | "base_uri": "https://localhost:8080/", |
||
| 1030 | "height": 34 |
||
| 1031 | }, |
||
| 1032 | "colab_type": "code", |
||
| 1033 | "id": "S1xGwZjcAz4b", |
||
| 1034 | "outputId": "053ae4a5-0f2c-4b0e-d75b-44734a7feaf6" |
||
| 1035 | }, |
||
| 1036 | "outputs": [ |
||
| 1037 | { |
||
| 1038 | "data": { |
||
| 1039 | "text/plain": [ |
||
| 1040 | "<generator object Module.parameters at 0x7fa40a6c1990>" |
||
| 1041 | ] |
||
| 1042 | }, |
||
| 1043 | "execution_count": 9, |
||
| 1044 | "metadata": { |
||
| 1045 | "tags": [] |
||
| 1046 | }, |
||
| 1047 | "output_type": "execute_result" |
||
| 1048 | } |
||
| 1049 | ], |
||
| 1050 | "source": [ |
||
| 1051 | "classifier.model.parameters()" |
||
| 1052 | ] |
||
| 1053 | }, |
||
| 1054 | { |
||
| 1055 | "cell_type": "code", |
||
| 1056 | "execution_count": 0, |
||
| 1057 | "metadata": { |
||
| 1058 | "colab": { |
||
| 1059 | "base_uri": "https://localhost:8080/", |
||
| 1060 | "height": 4267 |
||
| 1061 | }, |
||
| 1062 | "colab_type": "code", |
||
| 1063 | "id": "bkXIatn-2lxV", |
||
| 1064 | "outputId": "9844cdda-5f0c-49da-fd59-4adb5aac0412" |
||
| 1065 | }, |
||
| 1066 | "outputs": [ |
||
| 1067 | { |
||
| 1068 | "name": "stdout", |
||
| 1069 | "output_type": "stream", |
||
| 1070 | "text": [ |
||
| 1071 | "Epoch 0\n", |
||
| 1072 | "Train Loss: 0.45825\n", |
||
| 1073 | "Train Accuracy: 79.7%\n", |
||
| 1074 | "Test Loss: 0.48396\n", |
||
| 1075 | "Test Accuracy: 76.4%\n", |
||
| 1076 | "Epoch 1\n", |
||
| 1077 | "Train Loss: 0.43202\n", |
||
| 1078 | "Train Accuracy: 78.1%\n", |
||
| 1079 | "Test Loss: 0.49042\n", |
||
| 1080 | "Test Accuracy: 75.0%\n", |
||
| 1081 | "Epoch 2\n", |
||
| 1082 | "Train Loss: 0.42766\n", |
||
| 1083 | "Train Accuracy: 77.3%\n", |
||
| 1084 | "Test Loss: 0.50944\n", |
||
| 1085 | "Test Accuracy: 72.9%\n", |
||
| 1086 | "Epoch 3\n", |
||
| 1087 | "Train Loss: 0.67299\n", |
||
| 1088 | "Train Accuracy: 64.4%\n", |
||
| 1089 | "Test Loss: 0.79049\n", |
||
| 1090 | "Test Accuracy: 57.9%\n", |
||
| 1091 | "Epoch 4\n", |
||
| 1092 | "Train Loss: 0.34711\n", |
||
| 1093 | "Train Accuracy: 86.8%\n", |
||
| 1094 | "Test Loss: 0.43078\n", |
||
| 1095 | "Test Accuracy: 79.3%\n", |
||
| 1096 | "Epoch 5\n", |
||
| 1097 | "Train Loss: 0.85764\n", |
||
| 1098 | "Train Accuracy: 59.7%\n", |
||
| 1099 | "Test Loss: 0.98398\n", |
||
| 1100 | "Test Accuracy: 55.0%\n", |
||
| 1101 | "Epoch 6\n", |
||
| 1102 | "Train Loss: 0.73597\n", |
||
| 1103 | "Train Accuracy: 63.9%\n", |
||
| 1104 | "Test Loss: 0.85601\n", |
||
| 1105 | "Test Accuracy: 58.6%\n", |
||
| 1106 | "Epoch 7\n", |
||
| 1107 | "Train Loss: 0.46463\n", |
||
| 1108 | "Train Accuracy: 75.3%\n", |
||
| 1109 | "Test Loss: 0.58487\n", |
||
| 1110 | "Test Accuracy: 71.1%\n", |
||
| 1111 | "Epoch 8\n", |
||
| 1112 | "Train Loss: 0.33387\n", |
||
| 1113 | "Train Accuracy: 86.5%\n", |
||
| 1114 | "Test Loss: 0.45445\n", |
||
| 1115 | "Test Accuracy: 77.1%\n", |
||
| 1116 | "Epoch 9\n", |
||
| 1117 | "Train Loss: 0.32303\n", |
||
| 1118 | "Train Accuracy: 87.7%\n", |
||
| 1119 | "Test Loss: 0.45208\n", |
||
| 1120 | "Test Accuracy: 78.9%\n", |
||
| 1121 | "Epoch 10\n", |
||
| 1122 | "Train Loss: 0.31797\n", |
||
| 1123 | "Train Accuracy: 87.8%\n", |
||
| 1124 | "Test Loss: 0.45144\n", |
||
| 1125 | "Test Accuracy: 80.7%\n", |
||
| 1126 | "Epoch 11\n", |
||
| 1127 | "Train Loss: 0.47277\n", |
||
| 1128 | "Train Accuracy: 74.6%\n", |
||
| 1129 | "Test Loss: 0.66623\n", |
||
| 1130 | "Test Accuracy: 67.5%\n", |
||
| 1131 | "Epoch 12\n", |
||
| 1132 | "Train Loss: 0.32887\n", |
||
| 1133 | "Train Accuracy: 86.7%\n", |
||
| 1134 | "Test Loss: 0.48419\n", |
||
| 1135 | "Test Accuracy: 76.8%\n", |
||
| 1136 | "Epoch 13\n", |
||
| 1137 | "Train Loss: 0.33205\n", |
||
| 1138 | "Train Accuracy: 85.2%\n", |
||
| 1139 | "Test Loss: 0.48284\n", |
||
| 1140 | "Test Accuracy: 76.8%\n", |
||
| 1141 | "Epoch 14\n", |
||
| 1142 | "Train Loss: 0.30129\n", |
||
| 1143 | "Train Accuracy: 87.7%\n", |
||
| 1144 | "Test Loss: 0.45273\n", |
||
| 1145 | "Test Accuracy: 80.0%\n", |
||
| 1146 | "Epoch 15\n", |
||
| 1147 | "Train Loss: 0.69373\n", |
||
| 1148 | "Train Accuracy: 66.1%\n", |
||
| 1149 | "Test Loss: 0.84741\n", |
||
| 1150 | "Test Accuracy: 60.0%\n", |
||
| 1151 | "Epoch 16\n", |
||
| 1152 | "Train Loss: 0.90043\n", |
||
| 1153 | "Train Accuracy: 60.2%\n", |
||
| 1154 | "Test Loss: 1.10525\n", |
||
| 1155 | "Test Accuracy: 55.4%\n", |
||
| 1156 | "Epoch 17\n", |
||
| 1157 | "Train Loss: 0.31883\n", |
||
| 1158 | "Train Accuracy: 86.2%\n", |
||
| 1159 | "Test Loss: 0.47711\n", |
||
| 1160 | "Test Accuracy: 78.2%\n", |
||
| 1161 | "Epoch 18\n", |
||
| 1162 | "Train Loss: 0.68496\n", |
||
| 1163 | "Train Accuracy: 65.2%\n", |
||
| 1164 | "Test Loss: 0.87739\n", |
||
| 1165 | "Test Accuracy: 59.3%\n", |
||
| 1166 | "Epoch 19\n", |
||
| 1167 | "Train Loss: 0.33017\n", |
||
| 1168 | "Train Accuracy: 85.9%\n", |
||
| 1169 | "Test Loss: 0.52678\n", |
||
| 1170 | "Test Accuracy: 76.8%\n", |
||
| 1171 | "Epoch 20\n", |
||
| 1172 | "Train Loss: 0.29584\n", |
||
| 1173 | "Train Accuracy: 88.6%\n", |
||
| 1174 | "Test Loss: 0.43470\n", |
||
| 1175 | "Test Accuracy: 80.7%\n", |
||
| 1176 | "Epoch 21\n", |
||
| 1177 | "Train Loss: 0.29099\n", |
||
| 1178 | "Train Accuracy: 89.4%\n", |
||
| 1179 | "Test Loss: 0.45623\n", |
||
| 1180 | "Test Accuracy: 79.3%\n", |
||
| 1181 | "Epoch 22\n", |
||
| 1182 | "Train Loss: 0.79201\n", |
||
| 1183 | "Train Accuracy: 63.3%\n", |
||
| 1184 | "Test Loss: 0.95356\n", |
||
| 1185 | "Test Accuracy: 58.6%\n", |
||
| 1186 | "Epoch 23\n", |
||
| 1187 | "Train Loss: 0.35573\n", |
||
| 1188 | "Train Accuracy: 83.0%\n", |
||
| 1189 | "Test Loss: 0.53456\n", |
||
| 1190 | "Test Accuracy: 71.8%\n", |
||
| 1191 | "Epoch 24\n", |
||
| 1192 | "Train Loss: 0.29094\n", |
||
| 1193 | "Train Accuracy: 89.9%\n", |
||
| 1194 | "Test Loss: 0.43990\n", |
||
| 1195 | "Test Accuracy: 79.3%\n", |
||
| 1196 | "Epoch 25\n", |
||
| 1197 | "Train Loss: 0.29328\n", |
||
| 1198 | "Train Accuracy: 89.1%\n", |
||
| 1199 | "Test Loss: 0.43468\n", |
||
| 1200 | "Test Accuracy: 79.6%\n", |
||
| 1201 | "Epoch 26\n", |
||
| 1202 | "Train Loss: 0.29041\n", |
||
| 1203 | "Train Accuracy: 88.7%\n", |
||
| 1204 | "Test Loss: 0.44635\n", |
||
| 1205 | "Test Accuracy: 79.6%\n", |
||
| 1206 | "Epoch 27\n", |
||
| 1207 | "Train Loss: 0.55998\n", |
||
| 1208 | "Train Accuracy: 69.6%\n", |
||
| 1209 | "Test Loss: 0.73803\n", |
||
| 1210 | "Test Accuracy: 63.2%\n", |
||
| 1211 | "Epoch 28\n", |
||
| 1212 | "Train Loss: 0.35123\n", |
||
| 1213 | "Train Accuracy: 83.4%\n", |
||
| 1214 | "Test Loss: 0.51747\n", |
||
| 1215 | "Test Accuracy: 72.9%\n", |
||
| 1216 | "Epoch 29\n", |
||
| 1217 | "Train Loss: 1.69520\n", |
||
| 1218 | "Train Accuracy: 54.5%\n", |
||
| 1219 | "Test Loss: 1.91036\n", |
||
| 1220 | "Test Accuracy: 52.1%\n", |
||
| 1221 | "Epoch 30\n", |
||
| 1222 | "Train Loss: 0.29160\n", |
||
| 1223 | "Train Accuracy: 88.5%\n", |
||
| 1224 | "Test Loss: 0.43362\n", |
||
| 1225 | "Test Accuracy: 81.1%\n", |
||
| 1226 | "Epoch 31\n", |
||
| 1227 | "Train Loss: 1.02346\n", |
||
| 1228 | "Train Accuracy: 57.9%\n", |
||
| 1229 | "Test Loss: 1.20691\n", |
||
| 1230 | "Test Accuracy: 53.2%\n", |
||
| 1231 | "Epoch 32\n", |
||
| 1232 | "Train Loss: 0.28926\n", |
||
| 1233 | "Train Accuracy: 88.9%\n", |
||
| 1234 | "Test Loss: 0.44636\n", |
||
| 1235 | "Test Accuracy: 78.9%\n", |
||
| 1236 | "Epoch 33\n", |
||
| 1237 | "Train Loss: 0.28356\n", |
||
| 1238 | "Train Accuracy: 89.3%\n", |
||
| 1239 | "Test Loss: 0.45554\n", |
||
| 1240 | "Test Accuracy: 77.1%\n", |
||
| 1241 | "Epoch 34\n", |
||
| 1242 | "Train Loss: 0.89516\n", |
||
| 1243 | "Train Accuracy: 59.5%\n", |
||
| 1244 | "Test Loss: 1.08729\n", |
||
| 1245 | "Test Accuracy: 53.9%\n", |
||
| 1246 | "Epoch 35\n", |
||
| 1247 | "Train Loss: 0.63140\n", |
||
| 1248 | "Train Accuracy: 67.3%\n", |
||
| 1249 | "Test Loss: 0.82585\n", |
||
| 1250 | "Test Accuracy: 60.0%\n", |
||
| 1251 | "Epoch 36\n", |
||
| 1252 | "Train Loss: 0.33272\n", |
||
| 1253 | "Train Accuracy: 85.7%\n", |
||
| 1254 | "Test Loss: 0.52124\n", |
||
| 1255 | "Test Accuracy: 76.1%\n", |
||
| 1256 | "Epoch 37\n", |
||
| 1257 | "Train Loss: 0.90068\n", |
||
| 1258 | "Train Accuracy: 59.7%\n", |
||
| 1259 | "Test Loss: 1.10443\n", |
||
| 1260 | "Test Accuracy: 53.9%\n", |
||
| 1261 | "Epoch 38\n", |
||
| 1262 | "Train Loss: 0.41728\n", |
||
| 1263 | "Train Accuracy: 79.1%\n", |
||
| 1264 | "Test Loss: 0.59645\n", |
||
| 1265 | "Test Accuracy: 72.1%\n", |
||
| 1266 | "Epoch 39\n", |
||
| 1267 | "Train Loss: 0.29578\n", |
||
| 1268 | "Train Accuracy: 89.3%\n", |
||
| 1269 | "Test Loss: 0.46959\n", |
||
| 1270 | "Test Accuracy: 78.6%\n", |
||
| 1271 | "Epoch 40\n", |
||
| 1272 | "Train Loss: 0.28477\n", |
||
| 1273 | "Train Accuracy: 89.8%\n", |
||
| 1274 | "Test Loss: 0.47290\n", |
||
| 1275 | "Test Accuracy: 77.1%\n", |
||
| 1276 | "Epoch 41\n", |
||
| 1277 | "Train Loss: 0.79603\n", |
||
| 1278 | "Train Accuracy: 61.6%\n", |
||
| 1279 | "Test Loss: 1.00241\n", |
||
| 1280 | "Test Accuracy: 56.4%\n", |
||
| 1281 | "Epoch 42\n", |
||
| 1282 | "Train Loss: 0.29634\n", |
||
| 1283 | "Train Accuracy: 88.7%\n", |
||
| 1284 | "Test Loss: 0.47950\n", |
||
| 1285 | "Test Accuracy: 79.3%\n", |
||
| 1286 | "Epoch 43\n", |
||
| 1287 | "Train Loss: 0.29162\n", |
||
| 1288 | "Train Accuracy: 88.5%\n", |
||
| 1289 | "Test Loss: 0.47160\n", |
||
| 1290 | "Test Accuracy: 76.4%\n", |
||
| 1291 | "Epoch 44\n", |
||
| 1292 | "Train Loss: 0.74748\n", |
||
| 1293 | "Train Accuracy: 64.7%\n", |
||
| 1294 | "Test Loss: 0.97208\n", |
||
| 1295 | "Test Accuracy: 57.5%\n", |
||
| 1296 | "Epoch 45\n", |
||
| 1297 | "Train Loss: 0.32037\n", |
||
| 1298 | "Train Accuracy: 85.1%\n", |
||
| 1299 | "Test Loss: 0.52109\n", |
||
| 1300 | "Test Accuracy: 75.0%\n", |
||
| 1301 | "Epoch 46\n", |
||
| 1302 | "Train Loss: 0.28124\n", |
||
| 1303 | "Train Accuracy: 89.3%\n", |
||
| 1304 | "Test Loss: 0.49289\n", |
||
| 1305 | "Test Accuracy: 78.6%\n", |
||
| 1306 | "Epoch 47\n", |
||
| 1307 | "Train Loss: 0.38134\n", |
||
| 1308 | "Train Accuracy: 80.9%\n", |
||
| 1309 | "Test Loss: 0.59058\n", |
||
| 1310 | "Test Accuracy: 71.8%\n", |
||
| 1311 | "Epoch 48\n", |
||
| 1312 | "Train Loss: 0.57638\n", |
||
| 1313 | "Train Accuracy: 70.3%\n", |
||
| 1314 | "Test Loss: 0.79985\n", |
||
| 1315 | "Test Accuracy: 63.2%\n", |
||
| 1316 | "Epoch 49\n", |
||
| 1317 | "Train Loss: 1.44346\n", |
||
| 1318 | "Train Accuracy: 53.6%\n", |
||
| 1319 | "Test Loss: 1.70621\n", |
||
| 1320 | "Test Accuracy: 50.4%\n" |
||
| 1321 | ] |
||
| 1322 | } |
||
| 1323 | ], |
||
| 1324 | "source": [ |
||
| 1325 | "from torch import optim\n", |
||
| 1326 | "from torch import nn\n", |
||
| 1327 | "from braindecode.datautil.signal_target import SignalAndTarget\n", |
||
| 1328 | "\n", |
||
| 1329 | "# define a number of train/test trials\n", |
||
| 1330 | "#nb_train_trials = int(np.floor(7/8*X.shape[0]))\n", |
||
| 1331 | "classifier.model.conv_classifier = nn.Conv2d(5, 2,(116, 1), bias=True).cuda()\n", |
||
| 1332 | "\n", |
||
| 1333 | "# split the dataset\n", |
||
| 1334 | "#train_set = SignalAndTarget(X[:nb_train_trials], y=y[:nb_train_trials]) # confound, sets are mixed again\n", |
||
| 1335 | "#test_set = SignalAndTarget(X[nb_train_trials:], y=y[nb_train_trials:])\n", |
||
| 1336 | "train_set = classifier.train_set\n", |
||
| 1337 | "test_set = classifier.test_set # that's the fix, but need to update classifier\n", |
||
| 1338 | "\n", |
||
| 1339 | "classifier.optimizer = optim.Adam(classifier.model.parameters())\n", |
||
| 1340 | "\n", |
||
| 1341 | "nbIter = 50\n", |
||
| 1342 | "\n", |
||
| 1343 | "# array that tracks results\n", |
||
| 1344 | "classifier.loss_rec = np.zeros((nbIter,2))\n", |
||
| 1345 | "classifier.accuracy_rec = np.zeros((nbIter,2))\n", |
||
| 1346 | "\n", |
||
| 1347 | "# run all epoch\n", |
||
| 1348 | "for i_epoch in range(nbIter):\n", |
||
| 1349 | "\n", |
||
| 1350 | " classifier._batchTrain(i_epoch, train_set)\n", |
||
| 1351 | " classifier._evalTraining(i_epoch, train_set, test_set)" |
||
| 1352 | ] |
||
| 1353 | }, |
||
| 1354 | { |
||
| 1355 | "cell_type": "code", |
||
| 1356 | "execution_count": 0, |
||
| 1357 | "metadata": { |
||
| 1358 | "colab": { |
||
| 1359 | "base_uri": "https://localhost:8080/", |
||
| 1360 | "height": 4879 |
||
| 1361 | }, |
||
| 1362 | "colab_type": "code", |
||
| 1363 | "id": "xHpKkopr2iFS", |
||
| 1364 | "outputId": "fb8b8a13-cdad-48c0-abbb-3ea5cdbb8f82" |
||
| 1365 | }, |
||
| 1366 | "outputs": [ |
||
| 1367 | { |
||
| 1368 | "name": "stdout", |
||
| 1369 | "output_type": "stream", |
||
| 1370 | "text": [ |
||
| 1371 | "--2018-12-07 00:14:15-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01T.mat\n", |
||
| 1372 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 1373 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 1374 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 1375 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S01T.mat [following]\n", |
||
| 1376 | "--2018-12-07 00:14:15-- https://lampx.tugraz.at/~bci/database/002-2014/S01T.mat\n", |
||
| 1377 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 1378 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 1379 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 1380 | "Length: 39794870 (38M)\n", |
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| 1381 | "Saving to: ‘S01T.mat’\n", |
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| 1382 | "\n", |
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| 1383 | "S01T.mat 100%[===================>] 37.95M 6.84MB/s in 12s \n", |
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| 1384 | "\n", |
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| 1385 | "2018-12-07 00:14:28 (3.27 MB/s) - ‘S01T.mat’ saved [39794870/39794870]\n", |
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| 1386 | "\n", |
||
| 1387 | "--2018-12-07 00:14:29-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01E.mat\n", |
||
| 1388 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 1389 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 1390 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 1391 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S01E.mat [following]\n", |
||
| 1392 | "--2018-12-07 00:14:29-- https://lampx.tugraz.at/~bci/database/002-2014/S01E.mat\n", |
||
| 1393 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 1394 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 1395 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 1396 | "Length: 23769588 (23M)\n", |
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| 1397 | "Saving to: ‘S01E.mat’\n", |
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| 1398 | "\n", |
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| 1399 | "S01E.mat 100%[===================>] 22.67M 3.95MB/s in 8.7s \n", |
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| 1400 | "\n", |
||
| 1401 | "2018-12-07 00:14:39 (2.61 MB/s) - ‘S01E.mat’ saved [23769588/23769588]\n", |
||
| 1402 | "\n", |
||
| 1403 | "mkdir: cannot create directory ‘BBCIData’: File exists\n", |
||
| 1404 | "\n", |
||
| 1405 | "(60, 15, 3584)\n", |
||
| 1406 | "(60,)\n", |
||
| 1407 | "Epoch 0\n", |
||
| 1408 | "Train Loss: 0.59035\n", |
||
| 1409 | "Train Accuracy: 63.5%\n", |
||
| 1410 | "Test Loss: 0.71795\n", |
||
| 1411 | "Test Accuracy: 50.0%\n", |
||
| 1412 | "Epoch 1\n", |
||
| 1413 | "Train Loss: 0.53741\n", |
||
| 1414 | "Train Accuracy: 69.2%\n", |
||
| 1415 | "Test Loss: 0.69791\n", |
||
| 1416 | "Test Accuracy: 62.5%\n", |
||
| 1417 | "Epoch 2\n", |
||
| 1418 | "Train Loss: 0.48028\n", |
||
| 1419 | "Train Accuracy: 82.7%\n", |
||
| 1420 | "Test Loss: 0.67063\n", |
||
| 1421 | "Test Accuracy: 62.5%\n", |
||
| 1422 | "Epoch 3\n", |
||
| 1423 | "Train Loss: 0.42742\n", |
||
| 1424 | "Train Accuracy: 90.4%\n", |
||
| 1425 | "Test Loss: 0.64467\n", |
||
| 1426 | "Test Accuracy: 75.0%\n", |
||
| 1427 | "Epoch 4\n", |
||
| 1428 | "Train Loss: 0.38158\n", |
||
| 1429 | "Train Accuracy: 92.3%\n", |
||
| 1430 | "Test Loss: 0.61856\n", |
||
| 1431 | "Test Accuracy: 87.5%\n", |
||
| 1432 | "Epoch 5\n", |
||
| 1433 | "Train Loss: 0.34126\n", |
||
| 1434 | "Train Accuracy: 94.2%\n", |
||
| 1435 | "Test Loss: 0.58863\n", |
||
| 1436 | "Test Accuracy: 87.5%\n", |
||
| 1437 | "Epoch 6\n", |
||
| 1438 | "Train Loss: 0.30431\n", |
||
| 1439 | "Train Accuracy: 94.2%\n", |
||
| 1440 | "Test Loss: 0.55712\n", |
||
| 1441 | "Test Accuracy: 87.5%\n", |
||
| 1442 | "Epoch 7\n", |
||
| 1443 | "Train Loss: 0.27281\n", |
||
| 1444 | "Train Accuracy: 96.2%\n", |
||
| 1445 | "Test Loss: 0.53117\n", |
||
| 1446 | "Test Accuracy: 87.5%\n", |
||
| 1447 | "Epoch 8\n", |
||
| 1448 | "Train Loss: 0.24420\n", |
||
| 1449 | "Train Accuracy: 100.0%\n", |
||
| 1450 | "Test Loss: 0.50117\n", |
||
| 1451 | "Test Accuracy: 87.5%\n", |
||
| 1452 | "Epoch 9\n", |
||
| 1453 | "Train Loss: 0.22009\n", |
||
| 1454 | "Train Accuracy: 100.0%\n", |
||
| 1455 | "Test Loss: 0.47334\n", |
||
| 1456 | "Test Accuracy: 87.5%\n", |
||
| 1457 | "Epoch 10\n", |
||
| 1458 | "Train Loss: 0.19978\n", |
||
| 1459 | "Train Accuracy: 100.0%\n", |
||
| 1460 | "Test Loss: 0.44829\n", |
||
| 1461 | "Test Accuracy: 87.5%\n", |
||
| 1462 | "Epoch 11\n", |
||
| 1463 | "Train Loss: 0.18170\n", |
||
| 1464 | "Train Accuracy: 100.0%\n", |
||
| 1465 | "Test Loss: 0.42519\n", |
||
| 1466 | "Test Accuracy: 87.5%\n", |
||
| 1467 | "Epoch 12\n", |
||
| 1468 | "Train Loss: 0.16582\n", |
||
| 1469 | "Train Accuracy: 100.0%\n", |
||
| 1470 | "Test Loss: 0.40238\n", |
||
| 1471 | "Test Accuracy: 87.5%\n", |
||
| 1472 | "Epoch 13\n", |
||
| 1473 | "Train Loss: 0.15176\n", |
||
| 1474 | "Train Accuracy: 100.0%\n", |
||
| 1475 | "Test Loss: 0.38288\n", |
||
| 1476 | "Test Accuracy: 87.5%\n", |
||
| 1477 | "Epoch 14\n", |
||
| 1478 | "Train Loss: 0.13941\n", |
||
| 1479 | "Train Accuracy: 100.0%\n", |
||
| 1480 | "Test Loss: 0.36684\n", |
||
| 1481 | "Test Accuracy: 87.5%\n", |
||
| 1482 | "Epoch 15\n", |
||
| 1483 | "Train Loss: 0.12825\n", |
||
| 1484 | "Train Accuracy: 100.0%\n", |
||
| 1485 | "Test Loss: 0.35460\n", |
||
| 1486 | "Test Accuracy: 87.5%\n", |
||
| 1487 | "Epoch 16\n", |
||
| 1488 | "Train Loss: 0.11822\n", |
||
| 1489 | "Train Accuracy: 100.0%\n", |
||
| 1490 | "Test Loss: 0.34499\n", |
||
| 1491 | "Test Accuracy: 100.0%\n", |
||
| 1492 | "Epoch 17\n", |
||
| 1493 | "Train Loss: 0.10870\n", |
||
| 1494 | "Train Accuracy: 100.0%\n", |
||
| 1495 | "Test Loss: 0.33678\n", |
||
| 1496 | "Test Accuracy: 100.0%\n", |
||
| 1497 | "Epoch 18\n", |
||
| 1498 | "Train Loss: 0.10051\n", |
||
| 1499 | "Train Accuracy: 100.0%\n", |
||
| 1500 | "Test Loss: 0.32920\n", |
||
| 1501 | "Test Accuracy: 100.0%\n", |
||
| 1502 | "Epoch 19\n", |
||
| 1503 | "Train Loss: 0.09312\n", |
||
| 1504 | "Train Accuracy: 100.0%\n", |
||
| 1505 | "Test Loss: 0.32177\n", |
||
| 1506 | "Test Accuracy: 100.0%\n", |
||
| 1507 | "Epoch 20\n", |
||
| 1508 | "Train Loss: 0.08638\n", |
||
| 1509 | "Train Accuracy: 100.0%\n", |
||
| 1510 | "Test Loss: 0.31344\n", |
||
| 1511 | "Test Accuracy: 100.0%\n", |
||
| 1512 | "Epoch 21\n", |
||
| 1513 | "Train Loss: 0.08014\n", |
||
| 1514 | "Train Accuracy: 100.0%\n", |
||
| 1515 | "Test Loss: 0.30799\n", |
||
| 1516 | "Test Accuracy: 100.0%\n", |
||
| 1517 | "Epoch 22\n", |
||
| 1518 | "Train Loss: 0.07451\n", |
||
| 1519 | "Train Accuracy: 100.0%\n", |
||
| 1520 | "Test Loss: 0.30423\n", |
||
| 1521 | "Test Accuracy: 100.0%\n", |
||
| 1522 | "Epoch 23\n", |
||
| 1523 | "Train Loss: 0.06921\n", |
||
| 1524 | "Train Accuracy: 100.0%\n", |
||
| 1525 | "Test Loss: 0.29714\n", |
||
| 1526 | "Test Accuracy: 100.0%\n", |
||
| 1527 | "Epoch 24\n", |
||
| 1528 | "Train Loss: 0.06443\n", |
||
| 1529 | "Train Accuracy: 100.0%\n", |
||
| 1530 | "Test Loss: 0.29052\n", |
||
| 1531 | "Test Accuracy: 100.0%\n", |
||
| 1532 | "Epoch 25\n", |
||
| 1533 | "Train Loss: 0.06031\n", |
||
| 1534 | "Train Accuracy: 100.0%\n", |
||
| 1535 | "Test Loss: 0.28300\n", |
||
| 1536 | "Test Accuracy: 100.0%\n", |
||
| 1537 | "Epoch 26\n", |
||
| 1538 | "Train Loss: 0.05658\n", |
||
| 1539 | "Train Accuracy: 100.0%\n", |
||
| 1540 | "Test Loss: 0.27913\n", |
||
| 1541 | "Test Accuracy: 100.0%\n", |
||
| 1542 | "Epoch 27\n", |
||
| 1543 | "Train Loss: 0.05328\n", |
||
| 1544 | "Train Accuracy: 100.0%\n", |
||
| 1545 | "Test Loss: 0.27572\n", |
||
| 1546 | "Test Accuracy: 100.0%\n", |
||
| 1547 | "Epoch 28\n", |
||
| 1548 | "Train Loss: 0.05030\n", |
||
| 1549 | "Train Accuracy: 100.0%\n", |
||
| 1550 | "Test Loss: 0.27514\n", |
||
| 1551 | "Test Accuracy: 100.0%\n", |
||
| 1552 | "Epoch 29\n", |
||
| 1553 | "Train Loss: 0.04759\n", |
||
| 1554 | "Train Accuracy: 100.0%\n", |
||
| 1555 | "Test Loss: 0.27249\n", |
||
| 1556 | "Test Accuracy: 100.0%\n", |
||
| 1557 | "Epoch 30\n", |
||
| 1558 | "Train Loss: 0.04497\n", |
||
| 1559 | "Train Accuracy: 100.0%\n", |
||
| 1560 | "Test Loss: 0.26947\n", |
||
| 1561 | "Test Accuracy: 100.0%\n", |
||
| 1562 | "Epoch 31\n", |
||
| 1563 | "Train Loss: 0.04251\n", |
||
| 1564 | "Train Accuracy: 100.0%\n", |
||
| 1565 | "Test Loss: 0.26470\n", |
||
| 1566 | "Test Accuracy: 100.0%\n", |
||
| 1567 | "Epoch 32\n", |
||
| 1568 | "Train Loss: 0.04012\n", |
||
| 1569 | "Train Accuracy: 100.0%\n", |
||
| 1570 | "Test Loss: 0.25948\n", |
||
| 1571 | "Test Accuracy: 100.0%\n", |
||
| 1572 | "Epoch 33\n", |
||
| 1573 | "Train Loss: 0.03803\n", |
||
| 1574 | "Train Accuracy: 100.0%\n", |
||
| 1575 | "Test Loss: 0.25503\n", |
||
| 1576 | "Test Accuracy: 100.0%\n", |
||
| 1577 | "Epoch 34\n", |
||
| 1578 | "Train Loss: 0.03593\n", |
||
| 1579 | "Train Accuracy: 100.0%\n", |
||
| 1580 | "Test Loss: 0.25090\n", |
||
| 1581 | "Test Accuracy: 100.0%\n", |
||
| 1582 | "Epoch 35\n", |
||
| 1583 | "Train Loss: 0.03400\n", |
||
| 1584 | "Train Accuracy: 100.0%\n", |
||
| 1585 | "Test Loss: 0.24655\n", |
||
| 1586 | "Test Accuracy: 100.0%\n", |
||
| 1587 | "Epoch 36\n", |
||
| 1588 | "Train Loss: 0.03225\n", |
||
| 1589 | "Train Accuracy: 100.0%\n", |
||
| 1590 | "Test Loss: 0.24253\n", |
||
| 1591 | "Test Accuracy: 100.0%\n", |
||
| 1592 | "Epoch 37\n", |
||
| 1593 | "Train Loss: 0.03067\n", |
||
| 1594 | "Train Accuracy: 100.0%\n", |
||
| 1595 | "Test Loss: 0.23928\n", |
||
| 1596 | "Test Accuracy: 100.0%\n", |
||
| 1597 | "Epoch 38\n", |
||
| 1598 | "Train Loss: 0.02915\n", |
||
| 1599 | "Train Accuracy: 100.0%\n", |
||
| 1600 | "Test Loss: 0.23697\n", |
||
| 1601 | "Test Accuracy: 100.0%\n", |
||
| 1602 | "Epoch 39\n", |
||
| 1603 | "Train Loss: 0.02792\n", |
||
| 1604 | "Train Accuracy: 100.0%\n", |
||
| 1605 | "Test Loss: 0.23510\n", |
||
| 1606 | "Test Accuracy: 100.0%\n", |
||
| 1607 | "Epoch 40\n", |
||
| 1608 | "Train Loss: 0.02682\n", |
||
| 1609 | "Train Accuracy: 100.0%\n", |
||
| 1610 | "Test Loss: 0.23309\n", |
||
| 1611 | "Test Accuracy: 100.0%\n", |
||
| 1612 | "Epoch 41\n", |
||
| 1613 | "Train Loss: 0.02554\n", |
||
| 1614 | "Train Accuracy: 100.0%\n", |
||
| 1615 | "Test Loss: 0.22865\n", |
||
| 1616 | "Test Accuracy: 100.0%\n", |
||
| 1617 | "Epoch 42\n", |
||
| 1618 | "Train Loss: 0.02444\n", |
||
| 1619 | "Train Accuracy: 100.0%\n", |
||
| 1620 | "Test Loss: 0.22469\n", |
||
| 1621 | "Test Accuracy: 100.0%\n", |
||
| 1622 | "Epoch 43\n", |
||
| 1623 | "Train Loss: 0.02354\n", |
||
| 1624 | "Train Accuracy: 100.0%\n", |
||
| 1625 | "Test Loss: 0.22113\n", |
||
| 1626 | "Test Accuracy: 100.0%\n", |
||
| 1627 | "Epoch 44\n", |
||
| 1628 | "Train Loss: 0.02257\n", |
||
| 1629 | "Train Accuracy: 100.0%\n", |
||
| 1630 | "Test Loss: 0.21919\n", |
||
| 1631 | "Test Accuracy: 100.0%\n", |
||
| 1632 | "Epoch 45\n", |
||
| 1633 | "Train Loss: 0.02160\n", |
||
| 1634 | "Train Accuracy: 100.0%\n", |
||
| 1635 | "Test Loss: 0.21884\n", |
||
| 1636 | "Test Accuracy: 100.0%\n", |
||
| 1637 | "Epoch 46\n", |
||
| 1638 | "Train Loss: 0.02074\n", |
||
| 1639 | "Train Accuracy: 100.0%\n", |
||
| 1640 | "Test Loss: 0.21870\n", |
||
| 1641 | "Test Accuracy: 87.5%\n", |
||
| 1642 | "Epoch 47\n", |
||
| 1643 | "Train Loss: 0.01996\n", |
||
| 1644 | "Train Accuracy: 100.0%\n", |
||
| 1645 | "Test Loss: 0.21850\n", |
||
| 1646 | "Test Accuracy: 87.5%\n", |
||
| 1647 | "Epoch 48\n", |
||
| 1648 | "Train Loss: 0.01929\n", |
||
| 1649 | "Train Accuracy: 100.0%\n", |
||
| 1650 | "Test Loss: 0.21899\n", |
||
| 1651 | "Test Accuracy: 87.5%\n", |
||
| 1652 | "Epoch 49\n", |
||
| 1653 | "Train Loss: 0.01867\n", |
||
| 1654 | "Train Accuracy: 100.0%\n", |
||
| 1655 | "Test Loss: 0.21831\n", |
||
| 1656 | "Test Accuracy: 87.5%\n" |
||
| 1657 | ] |
||
| 1658 | } |
||
| 1659 | ], |
||
| 1660 | "source": [ |
||
| 1661 | "from torch import optim\n", |
||
| 1662 | "from torch import nn\n", |
||
| 1663 | "from braindecode.datautil.signal_target import SignalAndTarget\n", |
||
| 1664 | "\n", |
||
| 1665 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S02T.mat\n", |
||
| 1666 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S02E.mat\n", |
||
| 1667 | "!mkdir BBCIData\n", |
||
| 1668 | "!mv *.mat BBCIData\n", |
||
| 1669 | "\n", |
||
| 1670 | "\n", |
||
| 1671 | "\"\"\"\n", |
||
| 1672 | "Now, let's load data.\n", |
||
| 1673 | "\n", |
||
| 1674 | "We read the file for the desired subject, and parse the data to extract:\n", |
||
| 1675 | "- samplingRate\n", |
||
| 1676 | "- trialLength\n", |
||
| 1677 | "- X, a M x N x K matrix, which stands for trial x chan x samples\n", |
||
| 1678 | " - the actual values are 160 x 15 x 2560\n", |
||
| 1679 | "- y, a M vector containing the labels {0,1}\n", |
||
| 1680 | "\n", |
||
| 1681 | "ref: Dataset description: https://lampx.tugraz.at/~bci/database/002-2014/description.pdf\n", |
||
| 1682 | "\"\"\"\n", |
||
| 1683 | "\n", |
||
| 1684 | "folder = \"BBCIData\"\n", |
||
| 1685 | "datasetID = 1\n", |
||
| 1686 | "\n", |
||
| 1687 | "# prepare data containers\n", |
||
| 1688 | "y_subset = []\n", |
||
| 1689 | "X_subset = []\n", |
||
| 1690 | "\n", |
||
| 1691 | "f = listdir(folder)[datasetID]\n", |
||
| 1692 | " \n", |
||
| 1693 | "# read file\n", |
||
| 1694 | "d1T = sio.loadmat(folder + \"/\" + f)\n", |
||
| 1695 | "\n", |
||
| 1696 | "samplingRate = d1T['data'][0][0][0][0][3][0][0]\n", |
||
| 1697 | "trialLength = 7*samplingRate\n", |
||
| 1698 | "\n", |
||
| 1699 | "# run through all training runs\n", |
||
| 1700 | "for run in range(len(d1T['data'][0])):\n", |
||
| 1701 | " y_subset.append(d1T['data'][0][run][0][0][2][0]) # labels\n", |
||
| 1702 | " timestamps = d1T['data'][0][run][0][0][1][0] # timestamps\n", |
||
| 1703 | " rawData = d1T['data'][0][run][0][0][0].transpose() # chan x data\n", |
||
| 1704 | "\n", |
||
| 1705 | " # parse out data based on timestamps\n", |
||
| 1706 | " for start in timestamps:\n", |
||
| 1707 | " end = start + trialLength\n", |
||
| 1708 | " X_subset.append(rawData[:,start:end]) #15 x 2560\n", |
||
| 1709 | "\n", |
||
| 1710 | "del rawData\n", |
||
| 1711 | "del d1T\n", |
||
| 1712 | "\n", |
||
| 1713 | "# arrange data into num7py arrays\n", |
||
| 1714 | "# also torch expect float32 for samples\n", |
||
| 1715 | "# and int64 for labels {0,1}\n", |
||
| 1716 | "X_subset = np.array(X_subset).astype(np.float32)\n", |
||
| 1717 | "y_subset = (np.array(y_subset).flatten()-1).astype(np.int64)\n", |
||
| 1718 | "print()\n", |
||
| 1719 | "print(X_subset.shape)\n", |
||
| 1720 | "print(y_subset.shape)\n", |
||
| 1721 | "\n", |
||
| 1722 | "\n", |
||
| 1723 | "# rand permute dataset\n", |
||
| 1724 | "idx = np.random.permutation(X_subset.shape[0])\n", |
||
| 1725 | "\n", |
||
| 1726 | "X_subset = X_subset[idx,:,:]\n", |
||
| 1727 | "y_subset = y_subset[idx]\n", |
||
| 1728 | "\n", |
||
| 1729 | "\n", |
||
| 1730 | "# define a number of train/test trials\n", |
||
| 1731 | "nb_train_trials = int(np.floor(7/8*X_subset.shape[0]))\n", |
||
| 1732 | "\n", |
||
| 1733 | "# split the dataset\n", |
||
| 1734 | "train_set_subset = SignalAndTarget(X_subset[:nb_train_trials], y=y_subset[:nb_train_trials])\n", |
||
| 1735 | "test_set_subset = SignalAndTarget(X_subset[nb_train_trials:], y=y_subset[nb_train_trials:])\n", |
||
| 1736 | "\n", |
||
| 1737 | "\n", |
||
| 1738 | "\n", |
||
| 1739 | "\n", |
||
| 1740 | "\n", |
||
| 1741 | "\n", |
||
| 1742 | "\n", |
||
| 1743 | "from torch import optim\n", |
||
| 1744 | "from torch import nn\n", |
||
| 1745 | "from braindecode.datautil.signal_target import SignalAndTarget\n", |
||
| 1746 | "\n", |
||
| 1747 | "# define a number of train/test trials\n", |
||
| 1748 | "classifier.model.conv_classifier = nn.Conv2d(5, 2,(116, 1), bias=True).cuda()\n", |
||
| 1749 | "\n", |
||
| 1750 | "classifier.optimizer = optim.Adam(classifier.model.parameters())\n", |
||
| 1751 | "\n", |
||
| 1752 | "nbIter = 50\n", |
||
| 1753 | "\n", |
||
| 1754 | "# array that tracks results\n", |
||
| 1755 | "classifier.loss_rec = np.zeros((nbIter,2))\n", |
||
| 1756 | "classifier.accuracy_rec = np.zeros((nbIter,2))\n", |
||
| 1757 | "\n", |
||
| 1758 | "# run all epoch\n", |
||
| 1759 | "for i_epoch in range(nbIter):\n", |
||
| 1760 | "\n", |
||
| 1761 | " classifier._batchTrain(i_epoch, train_set_subset)\n", |
||
| 1762 | " classifier._evalTraining(i_epoch, train_set_subset, test_set_subset)\n" |
||
| 1763 | ] |
||
| 1764 | }, |
||
| 1765 | { |
||
| 1766 | "cell_type": "code", |
||
| 1767 | "execution_count": 0, |
||
| 1768 | "metadata": { |
||
| 1769 | "colab": { |
||
| 1770 | "base_uri": "https://localhost:8080/", |
||
| 1771 | "height": 4267 |
||
| 1772 | }, |
||
| 1773 | "colab_type": "code", |
||
| 1774 | "id": "stBQvDoj19dR", |
||
| 1775 | "outputId": "8e83a16e-1286-4d9c-8ac1-4ad8bf486892" |
||
| 1776 | }, |
||
| 1777 | "outputs": [ |
||
| 1778 | { |
||
| 1779 | "name": "stdout", |
||
| 1780 | "output_type": "stream", |
||
| 1781 | "text": [ |
||
| 1782 | "Epoch 0\n", |
||
| 1783 | "Train Loss: 0.01411\n", |
||
| 1784 | "Train Accuracy: 100.0%\n", |
||
| 1785 | "Test Loss: 0.45631\n", |
||
| 1786 | "Test Accuracy: 87.5%\n", |
||
| 1787 | "Epoch 1\n", |
||
| 1788 | "Train Loss: 0.01369\n", |
||
| 1789 | "Train Accuracy: 100.0%\n", |
||
| 1790 | "Test Loss: 0.45678\n", |
||
| 1791 | "Test Accuracy: 87.5%\n", |
||
| 1792 | "Epoch 2\n", |
||
| 1793 | "Train Loss: 0.01326\n", |
||
| 1794 | "Train Accuracy: 100.0%\n", |
||
| 1795 | "Test Loss: 0.45545\n", |
||
| 1796 | "Test Accuracy: 87.5%\n", |
||
| 1797 | "Epoch 3\n", |
||
| 1798 | "Train Loss: 0.01289\n", |
||
| 1799 | "Train Accuracy: 100.0%\n", |
||
| 1800 | "Test Loss: 0.45607\n", |
||
| 1801 | "Test Accuracy: 87.5%\n", |
||
| 1802 | "Epoch 4\n", |
||
| 1803 | "Train Loss: 0.01253\n", |
||
| 1804 | "Train Accuracy: 100.0%\n", |
||
| 1805 | "Test Loss: 0.45559\n", |
||
| 1806 | "Test Accuracy: 87.5%\n", |
||
| 1807 | "Epoch 5\n", |
||
| 1808 | "Train Loss: 0.01216\n", |
||
| 1809 | "Train Accuracy: 100.0%\n", |
||
| 1810 | "Test Loss: 0.45258\n", |
||
| 1811 | "Test Accuracy: 87.5%\n", |
||
| 1812 | "Epoch 6\n", |
||
| 1813 | "Train Loss: 0.01182\n", |
||
| 1814 | "Train Accuracy: 100.0%\n", |
||
| 1815 | "Test Loss: 0.44866\n", |
||
| 1816 | "Test Accuracy: 87.5%\n", |
||
| 1817 | "Epoch 7\n", |
||
| 1818 | "Train Loss: 0.01151\n", |
||
| 1819 | "Train Accuracy: 100.0%\n", |
||
| 1820 | "Test Loss: 0.44688\n", |
||
| 1821 | "Test Accuracy: 87.5%\n", |
||
| 1822 | "Epoch 8\n", |
||
| 1823 | "Train Loss: 0.01122\n", |
||
| 1824 | "Train Accuracy: 100.0%\n", |
||
| 1825 | "Test Loss: 0.44529\n", |
||
| 1826 | "Test Accuracy: 87.5%\n", |
||
| 1827 | "Epoch 9\n", |
||
| 1828 | "Train Loss: 0.01096\n", |
||
| 1829 | "Train Accuracy: 100.0%\n", |
||
| 1830 | "Test Loss: 0.44381\n", |
||
| 1831 | "Test Accuracy: 87.5%\n", |
||
| 1832 | "Epoch 10\n", |
||
| 1833 | "Train Loss: 0.01070\n", |
||
| 1834 | "Train Accuracy: 100.0%\n", |
||
| 1835 | "Test Loss: 0.44116\n", |
||
| 1836 | "Test Accuracy: 87.5%\n", |
||
| 1837 | "Epoch 11\n", |
||
| 1838 | "Train Loss: 0.01046\n", |
||
| 1839 | "Train Accuracy: 100.0%\n", |
||
| 1840 | "Test Loss: 0.43645\n", |
||
| 1841 | "Test Accuracy: 87.5%\n", |
||
| 1842 | "Epoch 12\n", |
||
| 1843 | "Train Loss: 0.01023\n", |
||
| 1844 | "Train Accuracy: 100.0%\n", |
||
| 1845 | "Test Loss: 0.43478\n", |
||
| 1846 | "Test Accuracy: 87.5%\n", |
||
| 1847 | "Epoch 13\n", |
||
| 1848 | "Train Loss: 0.01001\n", |
||
| 1849 | "Train Accuracy: 100.0%\n", |
||
| 1850 | "Test Loss: 0.43866\n", |
||
| 1851 | "Test Accuracy: 87.5%\n", |
||
| 1852 | "Epoch 14\n", |
||
| 1853 | "Train Loss: 0.00976\n", |
||
| 1854 | "Train Accuracy: 100.0%\n", |
||
| 1855 | "Test Loss: 0.44634\n", |
||
| 1856 | "Test Accuracy: 87.5%\n", |
||
| 1857 | "Epoch 15\n", |
||
| 1858 | "Train Loss: 0.00949\n", |
||
| 1859 | "Train Accuracy: 100.0%\n", |
||
| 1860 | "Test Loss: 0.45189\n", |
||
| 1861 | "Test Accuracy: 87.5%\n", |
||
| 1862 | "Epoch 16\n", |
||
| 1863 | "Train Loss: 0.00920\n", |
||
| 1864 | "Train Accuracy: 100.0%\n", |
||
| 1865 | "Test Loss: 0.45601\n", |
||
| 1866 | "Test Accuracy: 87.5%\n", |
||
| 1867 | "Epoch 17\n", |
||
| 1868 | "Train Loss: 0.00890\n", |
||
| 1869 | "Train Accuracy: 100.0%\n", |
||
| 1870 | "Test Loss: 0.45772\n", |
||
| 1871 | "Test Accuracy: 87.5%\n", |
||
| 1872 | "Epoch 18\n", |
||
| 1873 | "Train Loss: 0.00861\n", |
||
| 1874 | "Train Accuracy: 100.0%\n", |
||
| 1875 | "Test Loss: 0.45853\n", |
||
| 1876 | "Test Accuracy: 87.5%\n", |
||
| 1877 | "Epoch 19\n", |
||
| 1878 | "Train Loss: 0.00832\n", |
||
| 1879 | "Train Accuracy: 100.0%\n", |
||
| 1880 | "Test Loss: 0.45800\n", |
||
| 1881 | "Test Accuracy: 87.5%\n", |
||
| 1882 | "Epoch 20\n", |
||
| 1883 | "Train Loss: 0.00806\n", |
||
| 1884 | "Train Accuracy: 100.0%\n", |
||
| 1885 | "Test Loss: 0.45809\n", |
||
| 1886 | "Test Accuracy: 87.5%\n", |
||
| 1887 | "Epoch 21\n", |
||
| 1888 | "Train Loss: 0.00780\n", |
||
| 1889 | "Train Accuracy: 100.0%\n", |
||
| 1890 | "Test Loss: 0.45934\n", |
||
| 1891 | "Test Accuracy: 87.5%\n", |
||
| 1892 | "Epoch 22\n", |
||
| 1893 | "Train Loss: 0.00757\n", |
||
| 1894 | "Train Accuracy: 100.0%\n", |
||
| 1895 | "Test Loss: 0.46104\n", |
||
| 1896 | "Test Accuracy: 87.5%\n", |
||
| 1897 | "Epoch 23\n", |
||
| 1898 | "Train Loss: 0.00733\n", |
||
| 1899 | "Train Accuracy: 100.0%\n", |
||
| 1900 | "Test Loss: 0.45554\n", |
||
| 1901 | "Test Accuracy: 87.5%\n", |
||
| 1902 | "Epoch 24\n", |
||
| 1903 | "Train Loss: 0.00714\n", |
||
| 1904 | "Train Accuracy: 100.0%\n", |
||
| 1905 | "Test Loss: 0.45005\n", |
||
| 1906 | "Test Accuracy: 87.5%\n", |
||
| 1907 | "Epoch 25\n", |
||
| 1908 | "Train Loss: 0.00699\n", |
||
| 1909 | "Train Accuracy: 100.0%\n", |
||
| 1910 | "Test Loss: 0.44585\n", |
||
| 1911 | "Test Accuracy: 87.5%\n", |
||
| 1912 | "Epoch 26\n", |
||
| 1913 | "Train Loss: 0.00684\n", |
||
| 1914 | "Train Accuracy: 100.0%\n", |
||
| 1915 | "Test Loss: 0.44494\n", |
||
| 1916 | "Test Accuracy: 87.5%\n", |
||
| 1917 | "Epoch 27\n", |
||
| 1918 | "Train Loss: 0.00670\n", |
||
| 1919 | "Train Accuracy: 100.0%\n", |
||
| 1920 | "Test Loss: 0.44465\n", |
||
| 1921 | "Test Accuracy: 87.5%\n", |
||
| 1922 | "Epoch 28\n", |
||
| 1923 | "Train Loss: 0.00656\n", |
||
| 1924 | "Train Accuracy: 100.0%\n", |
||
| 1925 | "Test Loss: 0.44659\n", |
||
| 1926 | "Test Accuracy: 87.5%\n", |
||
| 1927 | "Epoch 29\n", |
||
| 1928 | "Train Loss: 0.00643\n", |
||
| 1929 | "Train Accuracy: 100.0%\n", |
||
| 1930 | "Test Loss: 0.45250\n", |
||
| 1931 | "Test Accuracy: 87.5%\n", |
||
| 1932 | "Epoch 30\n", |
||
| 1933 | "Train Loss: 0.00634\n", |
||
| 1934 | "Train Accuracy: 100.0%\n", |
||
| 1935 | "Test Loss: 0.45858\n", |
||
| 1936 | "Test Accuracy: 87.5%\n", |
||
| 1937 | "Epoch 31\n", |
||
| 1938 | "Train Loss: 0.00624\n", |
||
| 1939 | "Train Accuracy: 100.0%\n", |
||
| 1940 | "Test Loss: 0.46391\n", |
||
| 1941 | "Test Accuracy: 87.5%\n", |
||
| 1942 | "Epoch 32\n", |
||
| 1943 | "Train Loss: 0.00615\n", |
||
| 1944 | "Train Accuracy: 100.0%\n", |
||
| 1945 | "Test Loss: 0.46770\n", |
||
| 1946 | "Test Accuracy: 87.5%\n", |
||
| 1947 | "Epoch 33\n", |
||
| 1948 | "Train Loss: 0.00602\n", |
||
| 1949 | "Train Accuracy: 100.0%\n", |
||
| 1950 | "Test Loss: 0.47048\n", |
||
| 1951 | "Test Accuracy: 87.5%\n", |
||
| 1952 | "Epoch 34\n", |
||
| 1953 | "Train Loss: 0.00588\n", |
||
| 1954 | "Train Accuracy: 100.0%\n", |
||
| 1955 | "Test Loss: 0.47247\n", |
||
| 1956 | "Test Accuracy: 87.5%\n", |
||
| 1957 | "Epoch 35\n", |
||
| 1958 | "Train Loss: 0.00576\n", |
||
| 1959 | "Train Accuracy: 100.0%\n", |
||
| 1960 | "Test Loss: 0.47522\n", |
||
| 1961 | "Test Accuracy: 87.5%\n", |
||
| 1962 | "Epoch 36\n", |
||
| 1963 | "Train Loss: 0.00564\n", |
||
| 1964 | "Train Accuracy: 100.0%\n", |
||
| 1965 | "Test Loss: 0.47548\n", |
||
| 1966 | "Test Accuracy: 87.5%\n", |
||
| 1967 | "Epoch 37\n", |
||
| 1968 | "Train Loss: 0.00550\n", |
||
| 1969 | "Train Accuracy: 100.0%\n", |
||
| 1970 | "Test Loss: 0.47629\n", |
||
| 1971 | "Test Accuracy: 87.5%\n", |
||
| 1972 | "Epoch 38\n", |
||
| 1973 | "Train Loss: 0.00538\n", |
||
| 1974 | "Train Accuracy: 100.0%\n", |
||
| 1975 | "Test Loss: 0.48025\n", |
||
| 1976 | "Test Accuracy: 87.5%\n", |
||
| 1977 | "Epoch 39\n", |
||
| 1978 | "Train Loss: 0.00528\n", |
||
| 1979 | "Train Accuracy: 100.0%\n", |
||
| 1980 | "Test Loss: 0.48644\n", |
||
| 1981 | "Test Accuracy: 87.5%\n", |
||
| 1982 | "Epoch 40\n", |
||
| 1983 | "Train Loss: 0.00518\n", |
||
| 1984 | "Train Accuracy: 100.0%\n", |
||
| 1985 | "Test Loss: 0.49224\n", |
||
| 1986 | "Test Accuracy: 87.5%\n", |
||
| 1987 | "Epoch 41\n", |
||
| 1988 | "Train Loss: 0.00509\n", |
||
| 1989 | "Train Accuracy: 100.0%\n", |
||
| 1990 | "Test Loss: 0.49633\n", |
||
| 1991 | "Test Accuracy: 87.5%\n", |
||
| 1992 | "Epoch 42\n", |
||
| 1993 | "Train Loss: 0.00504\n", |
||
| 1994 | "Train Accuracy: 100.0%\n", |
||
| 1995 | "Test Loss: 0.50633\n", |
||
| 1996 | "Test Accuracy: 87.5%\n", |
||
| 1997 | "Epoch 43\n", |
||
| 1998 | "Train Loss: 0.00497\n", |
||
| 1999 | "Train Accuracy: 100.0%\n", |
||
| 2000 | "Test Loss: 0.51250\n", |
||
| 2001 | "Test Accuracy: 87.5%\n", |
||
| 2002 | "Epoch 44\n", |
||
| 2003 | "Train Loss: 0.00488\n", |
||
| 2004 | "Train Accuracy: 100.0%\n", |
||
| 2005 | "Test Loss: 0.51696\n", |
||
| 2006 | "Test Accuracy: 87.5%\n", |
||
| 2007 | "Epoch 45\n", |
||
| 2008 | "Train Loss: 0.00477\n", |
||
| 2009 | "Train Accuracy: 100.0%\n", |
||
| 2010 | "Test Loss: 0.51926\n", |
||
| 2011 | "Test Accuracy: 87.5%\n", |
||
| 2012 | "Epoch 46\n", |
||
| 2013 | "Train Loss: 0.00465\n", |
||
| 2014 | "Train Accuracy: 100.0%\n", |
||
| 2015 | "Test Loss: 0.51979\n", |
||
| 2016 | "Test Accuracy: 87.5%\n", |
||
| 2017 | "Epoch 47\n", |
||
| 2018 | "Train Loss: 0.00452\n", |
||
| 2019 | "Train Accuracy: 100.0%\n", |
||
| 2020 | "Test Loss: 0.51986\n", |
||
| 2021 | "Test Accuracy: 87.5%\n", |
||
| 2022 | "Epoch 48\n", |
||
| 2023 | "Train Loss: 0.00438\n", |
||
| 2024 | "Train Accuracy: 100.0%\n", |
||
| 2025 | "Test Loss: 0.51918\n", |
||
| 2026 | "Test Accuracy: 87.5%\n", |
||
| 2027 | "Epoch 49\n", |
||
| 2028 | "Train Loss: 0.00424\n", |
||
| 2029 | "Train Accuracy: 100.0%\n", |
||
| 2030 | "Test Loss: 0.51738\n", |
||
| 2031 | "Test Accuracy: 87.5%\n" |
||
| 2032 | ] |
||
| 2033 | } |
||
| 2034 | ], |
||
| 2035 | "source": [ |
||
| 2036 | "nbIter = 50\n", |
||
| 2037 | "\n", |
||
| 2038 | "# array that tracks results\n", |
||
| 2039 | "classifier.loss_rec = np.zeros((nbIter,2))\n", |
||
| 2040 | "classifier.accuracy_rec = np.zeros((nbIter,2))\n", |
||
| 2041 | "\n", |
||
| 2042 | "# run all epoch\n", |
||
| 2043 | "for i_epoch in range(nbIter):\n", |
||
| 2044 | "\n", |
||
| 2045 | " classifier._batchTrain(i_epoch, train_set_subset)\n", |
||
| 2046 | " classifier._evalTraining(i_epoch, train_set_subset, test_set_subset)\n" |
||
| 2047 | ] |
||
| 2048 | }, |
||
| 2049 | { |
||
| 2050 | "cell_type": "code", |
||
| 2051 | "execution_count": 0, |
||
| 2052 | "metadata": { |
||
| 2053 | "colab": { |
||
| 2054 | "base_uri": "https://localhost:8080/", |
||
| 2055 | "height": 612 |
||
| 2056 | }, |
||
| 2057 | "colab_type": "code", |
||
| 2058 | "id": "SeSZLoSi0yE7", |
||
| 2059 | "outputId": "d031112f-ff67-4502-add7-68259c8848d2" |
||
| 2060 | }, |
||
| 2061 | "outputs": [ |
||
| 2062 | { |
||
| 2063 | "name": "stdout", |
||
| 2064 | "output_type": "stream", |
||
| 2065 | "text": [ |
||
| 2066 | "--2018-10-12 01:02:30-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01T.mat\n", |
||
| 2067 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
||
| 2068 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
||
| 2069 | "HTTP request sent, awaiting response... 302 Found\n", |
||
| 2070 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S01T.mat [following]\n", |
||
| 2071 | "--2018-10-12 01:02:30-- https://lampx.tugraz.at/~bci/database/002-2014/S01T.mat\n", |
||
| 2072 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
||
| 2073 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
||
| 2074 | "HTTP request sent, awaiting response... 200 OK\n", |
||
| 2075 | "Length: 39794870 (38M)\n", |
||
| 2076 | "Saving to: ‘S01T.mat’\n", |
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| 2077 | "\n", |
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| 2078 | "S01T.mat 100%[===================>] 37.95M 10.4MB/s in 5.9s \n", |
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| 2079 | "\n", |
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| 2080 | "2018-10-12 01:02:37 (6.44 MB/s) - ‘S01T.mat’ saved [39794870/39794870]\n", |
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| 2081 | "\n", |
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| 2082 | "--2018-10-12 01:02:38-- http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01E.mat\n", |
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| 2083 | "Resolving bnci-horizon-2020.eu (bnci-horizon-2020.eu)... 91.227.204.35\n", |
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| 2084 | "Connecting to bnci-horizon-2020.eu (bnci-horizon-2020.eu)|91.227.204.35|:80... connected.\n", |
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| 2085 | "HTTP request sent, awaiting response... 302 Found\n", |
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| 2086 | "Location: https://lampx.tugraz.at/~bci/database/002-2014/S01E.mat [following]\n", |
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| 2087 | "--2018-10-12 01:02:39-- https://lampx.tugraz.at/~bci/database/002-2014/S01E.mat\n", |
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| 2088 | "Resolving lampx.tugraz.at (lampx.tugraz.at)... 129.27.124.207\n", |
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| 2089 | "Connecting to lampx.tugraz.at (lampx.tugraz.at)|129.27.124.207|:443... connected.\n", |
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| 2090 | "HTTP request sent, awaiting response... 200 OK\n", |
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| 2091 | "Length: 23769588 (23M)\n", |
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| 2092 | "Saving to: ‘S01E.mat’\n", |
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| 2093 | "\n", |
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| 2094 | "S01E.mat 100%[===================>] 22.67M 5.50MB/s in 5.1s \n", |
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| 2095 | "\n", |
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| 2096 | "2018-10-12 01:02:44 (4.43 MB/s) - ‘S01E.mat’ saved [23769588/23769588]\n", |
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| 2097 | "\n", |
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| 2098 | "\n", |
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| 2099 | "(100, 15, 3584)\n", |
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| 2100 | "(100,)\n" |
||
| 2101 | ] |
||
| 2102 | } |
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| 2103 | ], |
||
| 2104 | "source": [ |
||
| 2105 | "\"\"\"\n", |
||
| 2106 | "#from brainDecodeSKLearnWrapper.ShallowFBCSPNet_SpecializedTrainer import ShallowFBCSPNet_SpecializedTrainer\n", |
||
| 2107 | "\n", |
||
| 2108 | "\n", |
||
| 2109 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01T.mat\n", |
||
| 2110 | "!wget http://bnci-horizon-2020.eu/database/data-sets/002-2014/S01E.mat\n", |
||
| 2111 | "!mkdir BBCIData\n", |
||
| 2112 | "!mv *.mat BBCIData\n", |
||
| 2113 | "\n", |
||
| 2114 | "\n", |
||
| 2115 | "\"\"\"\n", |
||
| 2116 | "Now, let's load data.\n", |
||
| 2117 | "\n", |
||
| 2118 | "We read the file for the desired subject, and parse the data to extract:\n", |
||
| 2119 | "- samplingRate\n", |
||
| 2120 | "- trialLength\n", |
||
| 2121 | "- X, a M x N x K matrix, which stands for trial x chan x samples\n", |
||
| 2122 | " - the actual values are 160 x 15 x 2560\n", |
||
| 2123 | "- y, a M vector containing the labels {0,1}\n", |
||
| 2124 | "\n", |
||
| 2125 | "ref: Dataset description: https://lampx.tugraz.at/~bci/database/002-2014/description.pdf\n", |
||
| 2126 | "\"\"\"\n", |
||
| 2127 | "\n", |
||
| 2128 | "folder = \"BBCIData\"\n", |
||
| 2129 | "datasetID = 1\n", |
||
| 2130 | "\n", |
||
| 2131 | "# prepare data containers\n", |
||
| 2132 | "y = []\n", |
||
| 2133 | "X = []\n", |
||
| 2134 | "\n", |
||
| 2135 | "f = listdir(folder)[datasetID]\n", |
||
| 2136 | " \n", |
||
| 2137 | "# read file\n", |
||
| 2138 | "d1T = sio.loadmat(folder + \"/\" + f)\n", |
||
| 2139 | "\n", |
||
| 2140 | "samplingRate = d1T['data'][0][0][0][0][3][0][0]\n", |
||
| 2141 | "trialLength = 7*samplingRate\n", |
||
| 2142 | "\n", |
||
| 2143 | "# run through all training runs\n", |
||
| 2144 | "for run in range(len(d1T['data'][0])):\n", |
||
| 2145 | " y.append(d1T['data'][0][run][0][0][2][0]) # labels\n", |
||
| 2146 | " timestamps = d1T['data'][0][run][0][0][1][0] # timestamps\n", |
||
| 2147 | " rawData = d1T['data'][0][run][0][0][0].transpose() # chan x data\n", |
||
| 2148 | "\n", |
||
| 2149 | " # parse out data based on timestamps\n", |
||
| 2150 | " for start in timestamps:\n", |
||
| 2151 | " end = start + trialLength\n", |
||
| 2152 | " X.append(rawData[:,start:end]) #15 x 2560\n", |
||
| 2153 | "\n", |
||
| 2154 | "del rawData\n", |
||
| 2155 | "del d1T\n", |
||
| 2156 | "\n", |
||
| 2157 | "# arrange data into num7py arrays\n", |
||
| 2158 | "# also torch expect float32 for samples\n", |
||
| 2159 | "# and int64 for labels {0,1}\n", |
||
| 2160 | "X = np.array(X).astype(np.float32)\n", |
||
| 2161 | "y = (np.array(y).flatten()-1).astype(np.int64)\n", |
||
| 2162 | "print()\n", |
||
| 2163 | "print(X.shape)\n", |
||
| 2164 | "print(y.shape)\n", |
||
| 2165 | "\n", |
||
| 2166 | "\n", |
||
| 2167 | "# rand permute dataset\n", |
||
| 2168 | "idx = np.random.permutation(X.shape[0])\n", |
||
| 2169 | "\n", |
||
| 2170 | "X = X[idx,:,:]\n", |
||
| 2171 | "y = y[idx]\n", |
||
| 2172 | "\n", |
||
| 2173 | "\n", |
||
| 2174 | "\n", |
||
| 2175 | "\n", |
||
| 2176 | "\n", |
||
| 2177 | "\n", |
||
| 2178 | "\n", |
||
| 2179 | "#specializedClassifier = ShallowFBCSPNet_SpecializedTrainer(network=classifier.model)\n", |
||
| 2180 | "#specializedClassifier.lr = 0.01\n", |
||
| 2181 | "#specializedClassifier.configure(initial_lr=0.01)\n", |
||
| 2182 | "#specializedClassifier.fit(X,y)\n", |
||
| 2183 | "\n", |
||
| 2184 | "\n", |
||
| 2185 | "\"\"\"\n", |
||
| 2186 | "\n" |
||
| 2187 | ] |
||
| 2188 | }, |
||
| 2189 | { |
||
| 2190 | "cell_type": "code", |
||
| 2191 | "execution_count": 0, |
||
| 2192 | "metadata": { |
||
| 2193 | "colab": { |
||
| 2194 | "base_uri": "https://localhost:8080/", |
||
| 2195 | "height": 13634 |
||
| 2196 | }, |
||
| 2197 | "colab_type": "code", |
||
| 2198 | "id": "qwZGsiv2S653", |
||
| 2199 | "outputId": "0a10306c-ef39-454d-8174-96ca8debab0a" |
||
| 2200 | }, |
||
| 2201 | "outputs": [ |
||
| 2202 | { |
||
| 2203 | "name": "stdout", |
||
| 2204 | "output_type": "stream", |
||
| 2205 | "text": [ |
||
| 2206 | "Epoch 0\n", |
||
| 2207 | "Train Loss: 0.40867\n", |
||
| 2208 | "Train Accuracy: 79.3%\n", |
||
| 2209 | "Test Loss: 1.06219\n", |
||
| 2210 | "Test Accuracy: 38.5%\n", |
||
| 2211 | "Epoch 1\n", |
||
| 2212 | "Train Loss: 0.24243\n", |
||
| 2213 | "Train Accuracy: 97.7%\n", |
||
| 2214 | "Test Loss: 1.22067\n", |
||
| 2215 | "Test Accuracy: 30.8%\n", |
||
| 2216 | "Epoch 2\n", |
||
| 2217 | "Train Loss: 0.15374\n", |
||
| 2218 | "Train Accuracy: 98.9%\n", |
||
| 2219 | "Test Loss: 1.23056\n", |
||
| 2220 | "Test Accuracy: 46.2%\n", |
||
| 2221 | "Epoch 3\n", |
||
| 2222 | "Train Loss: 0.10635\n", |
||
| 2223 | "Train Accuracy: 100.0%\n", |
||
| 2224 | "Test Loss: 1.24592\n", |
||
| 2225 | "Test Accuracy: 53.8%\n", |
||
| 2226 | "Epoch 4\n", |
||
| 2227 | "Train Loss: 0.07798\n", |
||
| 2228 | "Train Accuracy: 100.0%\n", |
||
| 2229 | "Test Loss: 1.24732\n", |
||
| 2230 | "Test Accuracy: 46.2%\n", |
||
| 2231 | "Epoch 5\n", |
||
| 2232 | "Train Loss: 0.05839\n", |
||
| 2233 | "Train Accuracy: 100.0%\n", |
||
| 2234 | "Test Loss: 1.29423\n", |
||
| 2235 | "Test Accuracy: 46.2%\n", |
||
| 2236 | "Epoch 6\n", |
||
| 2237 | "Train Loss: 0.04658\n", |
||
| 2238 | "Train Accuracy: 100.0%\n", |
||
| 2239 | "Test Loss: 1.35518\n", |
||
| 2240 | "Test Accuracy: 46.2%\n", |
||
| 2241 | "Epoch 7\n", |
||
| 2242 | "Train Loss: 0.03919\n", |
||
| 2243 | "Train Accuracy: 100.0%\n", |
||
| 2244 | "Test Loss: 1.43166\n", |
||
| 2245 | "Test Accuracy: 46.2%\n", |
||
| 2246 | "Epoch 8\n", |
||
| 2247 | "Train Loss: 0.03243\n", |
||
| 2248 | "Train Accuracy: 100.0%\n", |
||
| 2249 | "Test Loss: 1.48398\n", |
||
| 2250 | "Test Accuracy: 46.2%\n", |
||
| 2251 | "Epoch 9\n", |
||
| 2252 | "Train Loss: 0.02648\n", |
||
| 2253 | "Train Accuracy: 100.0%\n", |
||
| 2254 | "Test Loss: 1.53610\n", |
||
| 2255 | "Test Accuracy: 46.2%\n", |
||
| 2256 | "Epoch 10\n", |
||
| 2257 | "Train Loss: 0.02174\n", |
||
| 2258 | "Train Accuracy: 100.0%\n", |
||
| 2259 | "Test Loss: 1.57515\n", |
||
| 2260 | "Test Accuracy: 46.2%\n", |
||
| 2261 | "Epoch 11\n", |
||
| 2262 | "Train Loss: 0.01962\n", |
||
| 2263 | "Train Accuracy: 100.0%\n", |
||
| 2264 | "Test Loss: 1.59625\n", |
||
| 2265 | "Test Accuracy: 46.2%\n", |
||
| 2266 | "Epoch 12\n", |
||
| 2267 | "Train Loss: 0.01830\n", |
||
| 2268 | "Train Accuracy: 100.0%\n", |
||
| 2269 | "Test Loss: 1.60808\n", |
||
| 2270 | "Test Accuracy: 46.2%\n", |
||
| 2271 | "Epoch 13\n", |
||
| 2272 | "Train Loss: 0.01781\n", |
||
| 2273 | "Train Accuracy: 100.0%\n", |
||
| 2274 | "Test Loss: 1.61399\n", |
||
| 2275 | "Test Accuracy: 46.2%\n", |
||
| 2276 | "Epoch 14\n", |
||
| 2277 | "Train Loss: 0.01724\n", |
||
| 2278 | "Train Accuracy: 100.0%\n", |
||
| 2279 | "Test Loss: 1.62325\n", |
||
| 2280 | "Test Accuracy: 46.2%\n", |
||
| 2281 | "Epoch 15\n", |
||
| 2282 | "Train Loss: 0.01621\n", |
||
| 2283 | "Train Accuracy: 100.0%\n", |
||
| 2284 | "Test Loss: 1.62646\n", |
||
| 2285 | "Test Accuracy: 53.8%\n", |
||
| 2286 | "Epoch 16\n", |
||
| 2287 | "Train Loss: 0.01563\n", |
||
| 2288 | "Train Accuracy: 100.0%\n", |
||
| 2289 | "Test Loss: 1.64470\n", |
||
| 2290 | "Test Accuracy: 53.8%\n", |
||
| 2291 | "Epoch 17\n", |
||
| 2292 | "Train Loss: 0.01386\n", |
||
| 2293 | "Train Accuracy: 100.0%\n", |
||
| 2294 | "Test Loss: 1.67457\n", |
||
| 2295 | "Test Accuracy: 53.8%\n", |
||
| 2296 | "Epoch 18\n", |
||
| 2297 | "Train Loss: 0.01249\n", |
||
| 2298 | "Train Accuracy: 100.0%\n", |
||
| 2299 | "Test Loss: 1.72219\n", |
||
| 2300 | "Test Accuracy: 46.2%\n", |
||
| 2301 | "Epoch 19\n", |
||
| 2302 | "Train Loss: 0.01077\n", |
||
| 2303 | "Train Accuracy: 100.0%\n", |
||
| 2304 | "Test Loss: 1.75488\n", |
||
| 2305 | "Test Accuracy: 46.2%\n", |
||
| 2306 | "Epoch 20\n", |
||
| 2307 | "Train Loss: 0.00932\n", |
||
| 2308 | "Train Accuracy: 100.0%\n", |
||
| 2309 | "Test Loss: 1.76248\n", |
||
| 2310 | "Test Accuracy: 46.2%\n", |
||
| 2311 | "Epoch 21\n", |
||
| 2312 | "Train Loss: 0.00881\n", |
||
| 2313 | "Train Accuracy: 100.0%\n", |
||
| 2314 | "Test Loss: 1.77271\n", |
||
| 2315 | "Test Accuracy: 46.2%\n", |
||
| 2316 | "Epoch 22\n", |
||
| 2317 | "Train Loss: 0.00799\n", |
||
| 2318 | "Train Accuracy: 100.0%\n", |
||
| 2319 | "Test Loss: 1.81269\n", |
||
| 2320 | "Test Accuracy: 46.2%\n", |
||
| 2321 | "Epoch 23\n", |
||
| 2322 | "Train Loss: 0.00725\n", |
||
| 2323 | "Train Accuracy: 100.0%\n", |
||
| 2324 | "Test Loss: 1.86557\n", |
||
| 2325 | "Test Accuracy: 46.2%\n", |
||
| 2326 | "Epoch 24\n", |
||
| 2327 | "Train Loss: 0.00632\n", |
||
| 2328 | "Train Accuracy: 100.0%\n", |
||
| 2329 | "Test Loss: 1.97068\n", |
||
| 2330 | "Test Accuracy: 46.2%\n", |
||
| 2331 | "Epoch 25\n", |
||
| 2332 | "Train Loss: 0.00730\n", |
||
| 2333 | "Train Accuracy: 100.0%\n", |
||
| 2334 | "Test Loss: 2.08166\n", |
||
| 2335 | "Test Accuracy: 53.8%\n", |
||
| 2336 | "Epoch 26\n", |
||
| 2337 | "Train Loss: 0.00780\n", |
||
| 2338 | "Train Accuracy: 100.0%\n", |
||
| 2339 | "Test Loss: 2.07707\n", |
||
| 2340 | "Test Accuracy: 53.8%\n", |
||
| 2341 | "Epoch 27\n", |
||
| 2342 | "Train Loss: 0.00639\n", |
||
| 2343 | "Train Accuracy: 100.0%\n", |
||
| 2344 | "Test Loss: 2.00143\n", |
||
| 2345 | "Test Accuracy: 53.8%\n", |
||
| 2346 | "Epoch 28\n", |
||
| 2347 | "Train Loss: 0.00608\n", |
||
| 2348 | "Train Accuracy: 100.0%\n", |
||
| 2349 | "Test Loss: 1.96633\n", |
||
| 2350 | "Test Accuracy: 53.8%\n", |
||
| 2351 | "Epoch 29\n", |
||
| 2352 | "Train Loss: 0.00571\n", |
||
| 2353 | "Train Accuracy: 100.0%\n", |
||
| 2354 | "Test Loss: 1.94421\n", |
||
| 2355 | "Test Accuracy: 53.8%\n", |
||
| 2356 | "Epoch 30\n", |
||
| 2357 | "Train Loss: 0.00569\n", |
||
| 2358 | "Train Accuracy: 100.0%\n", |
||
| 2359 | "Test Loss: 1.94688\n", |
||
| 2360 | "Test Accuracy: 53.8%\n", |
||
| 2361 | "Epoch 31\n", |
||
| 2362 | "Train Loss: 0.00567\n", |
||
| 2363 | "Train Accuracy: 100.0%\n", |
||
| 2364 | "Test Loss: 1.94852\n", |
||
| 2365 | "Test Accuracy: 53.8%\n", |
||
| 2366 | "Epoch 32\n", |
||
| 2367 | "Train Loss: 0.00562\n", |
||
| 2368 | "Train Accuracy: 100.0%\n", |
||
| 2369 | "Test Loss: 1.95141\n", |
||
| 2370 | "Test Accuracy: 53.8%\n", |
||
| 2371 | "Epoch 33\n", |
||
| 2372 | "Train Loss: 0.00558\n", |
||
| 2373 | "Train Accuracy: 100.0%\n", |
||
| 2374 | "Test Loss: 1.95666\n", |
||
| 2375 | "Test Accuracy: 53.8%\n", |
||
| 2376 | "Epoch 34\n", |
||
| 2377 | "Train Loss: 0.00551\n", |
||
| 2378 | "Train Accuracy: 100.0%\n", |
||
| 2379 | "Test Loss: 1.96861\n", |
||
| 2380 | "Test Accuracy: 53.8%\n", |
||
| 2381 | "Epoch 35\n", |
||
| 2382 | "Train Loss: 0.00546\n", |
||
| 2383 | "Train Accuracy: 100.0%\n", |
||
| 2384 | "Test Loss: 1.98547\n", |
||
| 2385 | "Test Accuracy: 53.8%\n", |
||
| 2386 | "Epoch 36\n", |
||
| 2387 | "Train Loss: 0.00543\n", |
||
| 2388 | "Train Accuracy: 100.0%\n", |
||
| 2389 | "Test Loss: 2.00147\n", |
||
| 2390 | "Test Accuracy: 53.8%\n", |
||
| 2391 | "Epoch 37\n", |
||
| 2392 | "Train Loss: 0.00538\n", |
||
| 2393 | "Train Accuracy: 100.0%\n", |
||
| 2394 | "Test Loss: 2.01262\n", |
||
| 2395 | "Test Accuracy: 53.8%\n", |
||
| 2396 | "Epoch 38\n", |
||
| 2397 | "Train Loss: 0.00530\n", |
||
| 2398 | "Train Accuracy: 100.0%\n", |
||
| 2399 | "Test Loss: 2.01655\n", |
||
| 2400 | "Test Accuracy: 53.8%\n", |
||
| 2401 | "Epoch 39\n", |
||
| 2402 | "Train Loss: 0.00525\n", |
||
| 2403 | "Train Accuracy: 100.0%\n", |
||
| 2404 | "Test Loss: 2.02344\n", |
||
| 2405 | "Test Accuracy: 53.8%\n", |
||
| 2406 | "Epoch 40\n", |
||
| 2407 | "Train Loss: 0.00516\n", |
||
| 2408 | "Train Accuracy: 100.0%\n", |
||
| 2409 | "Test Loss: 2.02964\n", |
||
| 2410 | "Test Accuracy: 53.8%\n", |
||
| 2411 | "Epoch 41\n", |
||
| 2412 | "Train Loss: 0.00504\n", |
||
| 2413 | "Train Accuracy: 100.0%\n", |
||
| 2414 | "Test Loss: 2.03204\n", |
||
| 2415 | "Test Accuracy: 53.8%\n", |
||
| 2416 | "Epoch 42\n", |
||
| 2417 | "Train Loss: 0.00492\n", |
||
| 2418 | "Train Accuracy: 100.0%\n", |
||
| 2419 | "Test Loss: 2.03074\n", |
||
| 2420 | "Test Accuracy: 53.8%\n", |
||
| 2421 | "Epoch 43\n", |
||
| 2422 | "Train Loss: 0.00481\n", |
||
| 2423 | "Train Accuracy: 100.0%\n", |
||
| 2424 | "Test Loss: 2.03596\n", |
||
| 2425 | "Test Accuracy: 53.8%\n", |
||
| 2426 | "Epoch 44\n", |
||
| 2427 | "Train Loss: 0.00473\n", |
||
| 2428 | "Train Accuracy: 100.0%\n", |
||
| 2429 | "Test Loss: 2.04009\n", |
||
| 2430 | "Test Accuracy: 53.8%\n", |
||
| 2431 | "Epoch 45\n", |
||
| 2432 | "Train Loss: 0.00463\n", |
||
| 2433 | "Train Accuracy: 100.0%\n", |
||
| 2434 | "Test Loss: 2.04249\n", |
||
| 2435 | "Test Accuracy: 53.8%\n", |
||
| 2436 | "Epoch 46\n", |
||
| 2437 | "Train Loss: 0.00453\n", |
||
| 2438 | "Train Accuracy: 100.0%\n", |
||
| 2439 | "Test Loss: 2.04992\n", |
||
| 2440 | "Test Accuracy: 53.8%\n", |
||
| 2441 | "Epoch 47\n", |
||
| 2442 | "Train Loss: 0.00446\n", |
||
| 2443 | "Train Accuracy: 100.0%\n", |
||
| 2444 | "Test Loss: 2.05741\n", |
||
| 2445 | "Test Accuracy: 53.8%\n", |
||
| 2446 | "Epoch 48\n", |
||
| 2447 | "Train Loss: 0.00440\n", |
||
| 2448 | "Train Accuracy: 100.0%\n", |
||
| 2449 | "Test Loss: 2.06373\n", |
||
| 2450 | "Test Accuracy: 53.8%\n", |
||
| 2451 | "Epoch 49\n", |
||
| 2452 | "Train Loss: 0.00436\n", |
||
| 2453 | "Train Accuracy: 100.0%\n", |
||
| 2454 | "Test Loss: 2.07039\n", |
||
| 2455 | "Test Accuracy: 53.8%\n", |
||
| 2456 | "Epoch 50\n", |
||
| 2457 | "Train Loss: 0.00432\n", |
||
| 2458 | "Train Accuracy: 100.0%\n", |
||
| 2459 | "Test Loss: 2.07497\n", |
||
| 2460 | "Test Accuracy: 53.8%\n", |
||
| 2461 | "Epoch 51\n", |
||
| 2462 | "Train Loss: 0.00429\n", |
||
| 2463 | "Train Accuracy: 100.0%\n", |
||
| 2464 | "Test Loss: 2.08456\n", |
||
| 2465 | "Test Accuracy: 53.8%\n", |
||
| 2466 | "Epoch 52\n", |
||
| 2467 | "Train Loss: 0.00427\n", |
||
| 2468 | "Train Accuracy: 100.0%\n", |
||
| 2469 | "Test Loss: 2.09127\n", |
||
| 2470 | "Test Accuracy: 53.8%\n", |
||
| 2471 | "Epoch 53\n", |
||
| 2472 | "Train Loss: 0.00426\n", |
||
| 2473 | "Train Accuracy: 100.0%\n", |
||
| 2474 | "Test Loss: 2.09950\n", |
||
| 2475 | "Test Accuracy: 53.8%\n", |
||
| 2476 | "Epoch 54\n", |
||
| 2477 | "Train Loss: 0.00425\n", |
||
| 2478 | "Train Accuracy: 100.0%\n", |
||
| 2479 | "Test Loss: 2.10576\n", |
||
| 2480 | "Test Accuracy: 53.8%\n", |
||
| 2481 | "Epoch 55\n", |
||
| 2482 | "Train Loss: 0.00423\n", |
||
| 2483 | "Train Accuracy: 100.0%\n", |
||
| 2484 | "Test Loss: 2.10707\n", |
||
| 2485 | "Test Accuracy: 53.8%\n", |
||
| 2486 | "Epoch 56\n", |
||
| 2487 | "Train Loss: 0.00419\n", |
||
| 2488 | "Train Accuracy: 100.0%\n", |
||
| 2489 | "Test Loss: 2.11180\n", |
||
| 2490 | "Test Accuracy: 53.8%\n", |
||
| 2491 | "Epoch 57\n", |
||
| 2492 | "Train Loss: 0.00414\n", |
||
| 2493 | "Train Accuracy: 100.0%\n", |
||
| 2494 | "Test Loss: 2.11794\n", |
||
| 2495 | "Test Accuracy: 53.8%\n", |
||
| 2496 | "Epoch 58\n", |
||
| 2497 | "Train Loss: 0.00409\n", |
||
| 2498 | "Train Accuracy: 100.0%\n", |
||
| 2499 | "Test Loss: 2.12871\n", |
||
| 2500 | "Test Accuracy: 53.8%\n", |
||
| 2501 | "Epoch 59\n", |
||
| 2502 | "Train Loss: 0.00405\n", |
||
| 2503 | "Train Accuracy: 100.0%\n", |
||
| 2504 | "Test Loss: 2.13115\n", |
||
| 2505 | "Test Accuracy: 53.8%\n", |
||
| 2506 | "Epoch 60\n", |
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| 2507 | "Train Loss: 0.00405\n", |
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| 2508 | "Train Accuracy: 100.0%\n", |
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| 2509 | "Test Loss: 2.13248\n", |
||
| 2510 | "Test Accuracy: 53.8%\n", |
||
| 2511 | "Epoch 61\n", |
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| 2512 | "Train Loss: 0.00405\n", |
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| 2513 | "Train Accuracy: 100.0%\n", |
||
| 2514 | "Test Loss: 2.13286\n", |
||
| 2515 | "Test Accuracy: 53.8%\n", |
||
| 2516 | "Epoch 62\n", |
||
| 2517 | "Train Loss: 0.00404\n", |
||
| 2518 | "Train Accuracy: 100.0%\n", |
||
| 2519 | "Test Loss: 2.13316\n", |
||
| 2520 | "Test Accuracy: 53.8%\n", |
||
| 2521 | "Epoch 63\n", |
||
| 2522 | "Train Loss: 0.00404\n", |
||
| 2523 | "Train Accuracy: 100.0%\n", |
||
| 2524 | "Test Loss: 2.13328\n", |
||
| 2525 | "Test Accuracy: 53.8%\n", |
||
| 2526 | "Epoch 64\n", |
||
| 2527 | "Train Loss: 0.00403\n", |
||
| 2528 | "Train Accuracy: 100.0%\n", |
||
| 2529 | "Test Loss: 2.13382\n", |
||
| 2530 | "Test Accuracy: 53.8%\n", |
||
| 2531 | "Epoch 65\n", |
||
| 2532 | "Train Loss: 0.00402\n", |
||
| 2533 | "Train Accuracy: 100.0%\n", |
||
| 2534 | "Test Loss: 2.13440\n", |
||
| 2535 | "Test Accuracy: 53.8%\n", |
||
| 2536 | "Epoch 66\n", |
||
| 2537 | "Train Loss: 0.00402\n", |
||
| 2538 | "Train Accuracy: 100.0%\n", |
||
| 2539 | "Test Loss: 2.13462\n", |
||
| 2540 | "Test Accuracy: 53.8%\n", |
||
| 2541 | "Epoch 67\n", |
||
| 2542 | "Train Loss: 0.00401\n", |
||
| 2543 | "Train Accuracy: 100.0%\n", |
||
| 2544 | "Test Loss: 2.13428\n", |
||
| 2545 | "Test Accuracy: 53.8%\n", |
||
| 2546 | "Epoch 68\n", |
||
| 2547 | "Train Loss: 0.00400\n", |
||
| 2548 | "Train Accuracy: 100.0%\n", |
||
| 2549 | "Test Loss: 2.13436\n", |
||
| 2550 | "Test Accuracy: 53.8%\n", |
||
| 2551 | "Epoch 69\n", |
||
| 2552 | "Train Loss: 0.00400\n", |
||
| 2553 | "Train Accuracy: 100.0%\n", |
||
| 2554 | "Test Loss: 2.13464\n", |
||
| 2555 | "Test Accuracy: 53.8%\n", |
||
| 2556 | "Epoch 70\n", |
||
| 2557 | "Train Loss: 0.00399\n", |
||
| 2558 | "Train Accuracy: 100.0%\n", |
||
| 2559 | "Test Loss: 2.13525\n", |
||
| 2560 | "Test Accuracy: 53.8%\n", |
||
| 2561 | "Epoch 71\n", |
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| 2562 | "Train Loss: 0.00399\n", |
||
| 2563 | "Train Accuracy: 100.0%\n", |
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| 2564 | "Test Loss: 2.13552\n", |
||
| 2565 | "Test Accuracy: 53.8%\n", |
||
| 2566 | "Epoch 72\n", |
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| 2567 | "Train Loss: 0.00399\n", |
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| 2568 | "Train Accuracy: 100.0%\n", |
||
| 2569 | "Test Loss: 2.13632\n", |
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| 2570 | "Test Accuracy: 53.8%\n", |
||
| 2571 | "Epoch 73\n", |
||
| 2572 | "Train Loss: 0.00398\n", |
||
| 2573 | "Train Accuracy: 100.0%\n", |
||
| 2574 | "Test Loss: 2.13719\n", |
||
| 2575 | "Test Accuracy: 53.8%\n", |
||
| 2576 | "Epoch 74\n", |
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| 2577 | "Train Loss: 0.00398\n", |
||
| 2578 | "Train Accuracy: 100.0%\n", |
||
| 2579 | "Test Loss: 2.13816\n", |
||
| 2580 | "Test Accuracy: 53.8%\n", |
||
| 2581 | "Epoch 75\n", |
||
| 2582 | "Train Loss: 0.00398\n", |
||
| 2583 | "Train Accuracy: 100.0%\n", |
||
| 2584 | "Test Loss: 2.13821\n", |
||
| 2585 | "Test Accuracy: 53.8%\n", |
||
| 2586 | "Epoch 76\n", |
||
| 2587 | "Train Loss: 0.00398\n", |
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| 2588 | "Train Accuracy: 100.0%\n", |
||
| 2589 | "Test Loss: 2.13820\n", |
||
| 2590 | "Test Accuracy: 53.8%\n", |
||
| 2591 | "Epoch 77\n", |
||
| 2592 | "Train Loss: 0.00397\n", |
||
| 2593 | "Train Accuracy: 100.0%\n", |
||
| 2594 | "Test Loss: 2.13875\n", |
||
| 2595 | "Test Accuracy: 53.8%\n", |
||
| 2596 | "Epoch 78\n", |
||
| 2597 | "Train Loss: 0.00396\n", |
||
| 2598 | "Train Accuracy: 100.0%\n", |
||
| 2599 | "Test Loss: 2.13890\n", |
||
| 2600 | "Test Accuracy: 53.8%\n", |
||
| 2601 | "Epoch 79\n", |
||
| 2602 | "Train Loss: 0.00396\n", |
||
| 2603 | "Train Accuracy: 100.0%\n", |
||
| 2604 | "Test Loss: 2.13842\n", |
||
| 2605 | "Test Accuracy: 53.8%\n", |
||
| 2606 | "Epoch 80\n", |
||
| 2607 | "Train Loss: 0.00395\n", |
||
| 2608 | "Train Accuracy: 100.0%\n", |
||
| 2609 | "Test Loss: 2.13933\n", |
||
| 2610 | "Test Accuracy: 53.8%\n", |
||
| 2611 | "Epoch 81\n", |
||
| 2612 | "Train Loss: 0.00394\n", |
||
| 2613 | "Train Accuracy: 100.0%\n", |
||
| 2614 | "Test Loss: 2.14047\n", |
||
| 2615 | "Test Accuracy: 53.8%\n", |
||
| 2616 | "Epoch 82\n", |
||
| 2617 | "Train Loss: 0.00393\n", |
||
| 2618 | "Train Accuracy: 100.0%\n", |
||
| 2619 | "Test Loss: 2.14105\n", |
||
| 2620 | "Test Accuracy: 53.8%\n", |
||
| 2621 | "Epoch 83\n", |
||
| 2622 | "Train Loss: 0.00393\n", |
||
| 2623 | "Train Accuracy: 100.0%\n", |
||
| 2624 | "Test Loss: 2.14127\n", |
||
| 2625 | "Test Accuracy: 53.8%\n", |
||
| 2626 | "Epoch 84\n", |
||
| 2627 | "Train Loss: 0.00392\n", |
||
| 2628 | "Train Accuracy: 100.0%\n", |
||
| 2629 | "Test Loss: 2.14174\n", |
||
| 2630 | "Test Accuracy: 53.8%\n", |
||
| 2631 | "Epoch 85\n", |
||
| 2632 | "Train Loss: 0.00391\n", |
||
| 2633 | "Train Accuracy: 100.0%\n", |
||
| 2634 | "Test Loss: 2.14166\n", |
||
| 2635 | "Test Accuracy: 53.8%\n", |
||
| 2636 | "Epoch 86\n", |
||
| 2637 | "Train Loss: 0.00390\n", |
||
| 2638 | "Train Accuracy: 100.0%\n", |
||
| 2639 | "Test Loss: 2.14085\n", |
||
| 2640 | "Test Accuracy: 53.8%\n", |
||
| 2641 | "Epoch 87\n", |
||
| 2642 | "Train Loss: 0.00390\n", |
||
| 2643 | "Train Accuracy: 100.0%\n", |
||
| 2644 | "Test Loss: 2.13996\n", |
||
| 2645 | "Test Accuracy: 53.8%\n", |
||
| 2646 | "Epoch 88\n", |
||
| 2647 | "Train Loss: 0.00389\n", |
||
| 2648 | "Train Accuracy: 100.0%\n", |
||
| 2649 | "Test Loss: 2.13915\n", |
||
| 2650 | "Test Accuracy: 53.8%\n", |
||
| 2651 | "Epoch 89\n", |
||
| 2652 | "Train Loss: 0.00388\n", |
||
| 2653 | "Train Accuracy: 100.0%\n", |
||
| 2654 | "Test Loss: 2.13885\n", |
||
| 2655 | "Test Accuracy: 53.8%\n", |
||
| 2656 | "Epoch 90\n", |
||
| 2657 | "Train Loss: 0.00387\n", |
||
| 2658 | "Train Accuracy: 100.0%\n", |
||
| 2659 | "Test Loss: 2.13894\n", |
||
| 2660 | "Test Accuracy: 53.8%\n", |
||
| 2661 | "Epoch 91\n", |
||
| 2662 | "Train Loss: 0.00387\n", |
||
| 2663 | "Train Accuracy: 100.0%\n", |
||
| 2664 | "Test Loss: 2.13896\n", |
||
| 2665 | "Test Accuracy: 53.8%\n", |
||
| 2666 | "Epoch 92\n", |
||
| 2667 | "Train Loss: 0.00387\n", |
||
| 2668 | "Train Accuracy: 100.0%\n", |
||
| 2669 | "Test Loss: 2.13886\n", |
||
| 2670 | "Test Accuracy: 53.8%\n", |
||
| 2671 | "Epoch 93\n", |
||
| 2672 | "Train Loss: 0.00387\n", |
||
| 2673 | "Train Accuracy: 100.0%\n", |
||
| 2674 | "Test Loss: 2.13902\n", |
||
| 2675 | "Test Accuracy: 53.8%\n", |
||
| 2676 | "Epoch 94\n", |
||
| 2677 | "Train Loss: 0.00387\n", |
||
| 2678 | "Train Accuracy: 100.0%\n", |
||
| 2679 | "Test Loss: 2.13901\n", |
||
| 2680 | "Test Accuracy: 53.8%\n", |
||
| 2681 | "Epoch 95\n", |
||
| 2682 | "Train Loss: 0.00387\n", |
||
| 2683 | "Train Accuracy: 100.0%\n", |
||
| 2684 | "Test Loss: 2.13912\n", |
||
| 2685 | "Test Accuracy: 53.8%\n", |
||
| 2686 | "Epoch 96\n", |
||
| 2687 | "Train Loss: 0.00387\n", |
||
| 2688 | "Train Accuracy: 100.0%\n", |
||
| 2689 | "Test Loss: 2.13882\n", |
||
| 2690 | "Test Accuracy: 53.8%\n", |
||
| 2691 | "Epoch 97\n", |
||
| 2692 | "Train Loss: 0.00387\n", |
||
| 2693 | "Train Accuracy: 100.0%\n", |
||
| 2694 | "Test Loss: 2.13943\n", |
||
| 2695 | "Test Accuracy: 53.8%\n", |
||
| 2696 | "Epoch 98\n", |
||
| 2697 | "Train Loss: 0.00387\n", |
||
| 2698 | "Train Accuracy: 100.0%\n", |
||
| 2699 | "Test Loss: 2.13955\n", |
||
| 2700 | "Test Accuracy: 53.8%\n", |
||
| 2701 | "Epoch 99\n", |
||
| 2702 | "Train Loss: 0.00387\n", |
||
| 2703 | "Train Accuracy: 100.0%\n", |
||
| 2704 | "Test Loss: 2.13953\n", |
||
| 2705 | "Test Accuracy: 53.8%\n", |
||
| 2706 | "Epoch 100\n", |
||
| 2707 | "Train Loss: 0.00387\n", |
||
| 2708 | "Train Accuracy: 100.0%\n", |
||
| 2709 | "Test Loss: 2.13966\n", |
||
| 2710 | "Test Accuracy: 53.8%\n", |
||
| 2711 | "Epoch 101\n", |
||
| 2712 | "Train Loss: 0.00387\n", |
||
| 2713 | "Train Accuracy: 100.0%\n", |
||
| 2714 | "Test Loss: 2.14003\n", |
||
| 2715 | "Test Accuracy: 53.8%\n", |
||
| 2716 | "Epoch 102\n", |
||
| 2717 | "Train Loss: 0.00387\n", |
||
| 2718 | "Train Accuracy: 100.0%\n", |
||
| 2719 | "Test Loss: 2.14016\n", |
||
| 2720 | "Test Accuracy: 53.8%\n", |
||
| 2721 | "Epoch 103\n", |
||
| 2722 | "Train Loss: 0.00387\n", |
||
| 2723 | "Train Accuracy: 100.0%\n", |
||
| 2724 | "Test Loss: 2.14000\n", |
||
| 2725 | "Test Accuracy: 53.8%\n", |
||
| 2726 | "Epoch 104\n", |
||
| 2727 | "Train Loss: 0.00387\n", |
||
| 2728 | "Train Accuracy: 100.0%\n", |
||
| 2729 | "Test Loss: 2.13978\n", |
||
| 2730 | "Test Accuracy: 53.8%\n", |
||
| 2731 | "Epoch 105\n", |
||
| 2732 | "Train Loss: 0.00387\n", |
||
| 2733 | "Train Accuracy: 100.0%\n", |
||
| 2734 | "Test Loss: 2.13973\n", |
||
| 2735 | "Test Accuracy: 53.8%\n", |
||
| 2736 | "Epoch 106\n", |
||
| 2737 | "Train Loss: 0.00387\n", |
||
| 2738 | "Train Accuracy: 100.0%\n", |
||
| 2739 | "Test Loss: 2.13930\n", |
||
| 2740 | "Test Accuracy: 53.8%\n", |
||
| 2741 | "Epoch 107\n", |
||
| 2742 | "Train Loss: 0.00387\n", |
||
| 2743 | "Train Accuracy: 100.0%\n", |
||
| 2744 | "Test Loss: 2.13915\n", |
||
| 2745 | "Test Accuracy: 53.8%\n", |
||
| 2746 | "Epoch 108\n", |
||
| 2747 | "Train Loss: 0.00387\n", |
||
| 2748 | "Train Accuracy: 100.0%\n", |
||
| 2749 | "Test Loss: 2.13888\n", |
||
| 2750 | "Test Accuracy: 53.8%\n", |
||
| 2751 | "Epoch 109\n", |
||
| 2752 | "Train Loss: 0.00387\n", |
||
| 2753 | "Train Accuracy: 100.0%\n", |
||
| 2754 | "Test Loss: 2.13888\n", |
||
| 2755 | "Test Accuracy: 53.8%\n", |
||
| 2756 | "Epoch 110\n", |
||
| 2757 | "Train Loss: 0.00387\n", |
||
| 2758 | "Train Accuracy: 100.0%\n", |
||
| 2759 | "Test Loss: 2.13877\n", |
||
| 2760 | "Test Accuracy: 53.8%\n", |
||
| 2761 | "Epoch 111\n", |
||
| 2762 | "Train Loss: 0.00387\n", |
||
| 2763 | "Train Accuracy: 100.0%\n", |
||
| 2764 | "Test Loss: 2.13868\n", |
||
| 2765 | "Test Accuracy: 53.8%\n", |
||
| 2766 | "Epoch 112\n", |
||
| 2767 | "Train Loss: 0.00386\n", |
||
| 2768 | "Train Accuracy: 100.0%\n", |
||
| 2769 | "Test Loss: 2.13817\n", |
||
| 2770 | "Test Accuracy: 53.8%\n", |
||
| 2771 | "Epoch 113\n", |
||
| 2772 | "Train Loss: 0.00386\n", |
||
| 2773 | "Train Accuracy: 100.0%\n", |
||
| 2774 | "Test Loss: 2.13880\n", |
||
| 2775 | "Test Accuracy: 53.8%\n", |
||
| 2776 | "Epoch 114\n", |
||
| 2777 | "Train Loss: 0.00386\n", |
||
| 2778 | "Train Accuracy: 100.0%\n", |
||
| 2779 | "Test Loss: 2.13896\n", |
||
| 2780 | "Test Accuracy: 53.8%\n", |
||
| 2781 | "Epoch 115\n", |
||
| 2782 | "Train Loss: 0.00386\n", |
||
| 2783 | "Train Accuracy: 100.0%\n", |
||
| 2784 | "Test Loss: 2.13874\n", |
||
| 2785 | "Test Accuracy: 53.8%\n", |
||
| 2786 | "Epoch 116\n", |
||
| 2787 | "Train Loss: 0.00386\n", |
||
| 2788 | "Train Accuracy: 100.0%\n", |
||
| 2789 | "Test Loss: 2.13832\n", |
||
| 2790 | "Test Accuracy: 53.8%\n", |
||
| 2791 | "Epoch 117\n", |
||
| 2792 | "Train Loss: 0.00386\n", |
||
| 2793 | "Train Accuracy: 100.0%\n", |
||
| 2794 | "Test Loss: 2.13847\n", |
||
| 2795 | "Test Accuracy: 53.8%\n", |
||
| 2796 | "Epoch 118\n", |
||
| 2797 | "Train Loss: 0.00386\n", |
||
| 2798 | "Train Accuracy: 100.0%\n", |
||
| 2799 | "Test Loss: 2.13856\n", |
||
| 2800 | "Test Accuracy: 53.8%\n", |
||
| 2801 | "Epoch 119\n", |
||
| 2802 | "Train Loss: 0.00386\n", |
||
| 2803 | "Train Accuracy: 100.0%\n", |
||
| 2804 | "Test Loss: 2.13898\n", |
||
| 2805 | "Test Accuracy: 53.8%\n", |
||
| 2806 | "Epoch 120\n", |
||
| 2807 | "Train Loss: 0.00386\n", |
||
| 2808 | "Train Accuracy: 100.0%\n", |
||
| 2809 | "Test Loss: 2.13897\n", |
||
| 2810 | "Test Accuracy: 53.8%\n", |
||
| 2811 | "Epoch 121\n", |
||
| 2812 | "Train Loss: 0.00386\n", |
||
| 2813 | "Train Accuracy: 100.0%\n", |
||
| 2814 | "Test Loss: 2.13901\n", |
||
| 2815 | "Test Accuracy: 53.8%\n", |
||
| 2816 | "Epoch 122\n", |
||
| 2817 | "Train Loss: 0.00386\n", |
||
| 2818 | "Train Accuracy: 100.0%\n", |
||
| 2819 | "Test Loss: 2.13867\n", |
||
| 2820 | "Test Accuracy: 53.8%\n", |
||
| 2821 | "Epoch 123\n", |
||
| 2822 | "Train Loss: 0.00386\n", |
||
| 2823 | "Train Accuracy: 100.0%\n", |
||
| 2824 | "Test Loss: 2.13857\n", |
||
| 2825 | "Test Accuracy: 53.8%\n", |
||
| 2826 | "Epoch 124\n", |
||
| 2827 | "Train Loss: 0.00386\n", |
||
| 2828 | "Train Accuracy: 100.0%\n", |
||
| 2829 | "Test Loss: 2.13831\n", |
||
| 2830 | "Test Accuracy: 53.8%\n", |
||
| 2831 | "Epoch 125\n", |
||
| 2832 | "Train Loss: 0.00386\n", |
||
| 2833 | "Train Accuracy: 100.0%\n", |
||
| 2834 | "Test Loss: 2.13839\n", |
||
| 2835 | "Test Accuracy: 53.8%\n", |
||
| 2836 | "Epoch 126\n", |
||
| 2837 | "Train Loss: 0.00386\n", |
||
| 2838 | "Train Accuracy: 100.0%\n", |
||
| 2839 | "Test Loss: 2.13884\n", |
||
| 2840 | "Test Accuracy: 53.8%\n", |
||
| 2841 | "Epoch 127\n", |
||
| 2842 | "Train Loss: 0.00386\n", |
||
| 2843 | "Train Accuracy: 100.0%\n", |
||
| 2844 | "Test Loss: 2.13885\n", |
||
| 2845 | "Test Accuracy: 53.8%\n", |
||
| 2846 | "Epoch 128\n", |
||
| 2847 | "Train Loss: 0.00386\n", |
||
| 2848 | "Train Accuracy: 100.0%\n", |
||
| 2849 | "Test Loss: 2.13878\n", |
||
| 2850 | "Test Accuracy: 53.8%\n", |
||
| 2851 | "Epoch 129\n", |
||
| 2852 | "Train Loss: 0.00386\n", |
||
| 2853 | "Train Accuracy: 100.0%\n", |
||
| 2854 | "Test Loss: 2.13850\n", |
||
| 2855 | "Test Accuracy: 53.8%\n", |
||
| 2856 | "Epoch 130\n", |
||
| 2857 | "Train Loss: 0.00386\n", |
||
| 2858 | "Train Accuracy: 100.0%\n", |
||
| 2859 | "Test Loss: 2.13828\n", |
||
| 2860 | "Test Accuracy: 53.8%\n", |
||
| 2861 | "Epoch 131\n", |
||
| 2862 | "Train Loss: 0.00386\n", |
||
| 2863 | "Train Accuracy: 100.0%\n", |
||
| 2864 | "Test Loss: 2.13847\n", |
||
| 2865 | "Test Accuracy: 53.8%\n", |
||
| 2866 | "Epoch 132\n", |
||
| 2867 | "Train Loss: 0.00386\n", |
||
| 2868 | "Train Accuracy: 100.0%\n", |
||
| 2869 | "Test Loss: 2.13831\n", |
||
| 2870 | "Test Accuracy: 53.8%\n", |
||
| 2871 | "Epoch 133\n", |
||
| 2872 | "Train Loss: 0.00386\n", |
||
| 2873 | "Train Accuracy: 100.0%\n", |
||
| 2874 | "Test Loss: 2.13801\n", |
||
| 2875 | "Test Accuracy: 53.8%\n", |
||
| 2876 | "Epoch 134\n", |
||
| 2877 | "Train Loss: 0.00386\n", |
||
| 2878 | "Train Accuracy: 100.0%\n", |
||
| 2879 | "Test Loss: 2.13848\n", |
||
| 2880 | "Test Accuracy: 53.8%\n", |
||
| 2881 | "Epoch 135\n", |
||
| 2882 | "Train Loss: 0.00386\n", |
||
| 2883 | "Train Accuracy: 100.0%\n", |
||
| 2884 | "Test Loss: 2.13844\n", |
||
| 2885 | "Test Accuracy: 53.8%\n", |
||
| 2886 | "Epoch 136\n", |
||
| 2887 | "Train Loss: 0.00386\n", |
||
| 2888 | "Train Accuracy: 100.0%\n", |
||
| 2889 | "Test Loss: 2.13881\n", |
||
| 2890 | "Test Accuracy: 53.8%\n", |
||
| 2891 | "Epoch 137\n", |
||
| 2892 | "Train Loss: 0.00386\n", |
||
| 2893 | "Train Accuracy: 100.0%\n", |
||
| 2894 | "Test Loss: 2.13926\n", |
||
| 2895 | "Test Accuracy: 53.8%\n", |
||
| 2896 | "Epoch 138\n", |
||
| 2897 | "Train Loss: 0.00386\n", |
||
| 2898 | "Train Accuracy: 100.0%\n", |
||
| 2899 | "Test Loss: 2.13873\n", |
||
| 2900 | "Test Accuracy: 53.8%\n", |
||
| 2901 | "Epoch 139\n", |
||
| 2902 | "Train Loss: 0.00386\n", |
||
| 2903 | "Train Accuracy: 100.0%\n", |
||
| 2904 | "Test Loss: 2.13843\n", |
||
| 2905 | "Test Accuracy: 53.8%\n", |
||
| 2906 | "Epoch 140\n", |
||
| 2907 | "Train Loss: 0.00386\n", |
||
| 2908 | "Train Accuracy: 100.0%\n", |
||
| 2909 | "Test Loss: 2.13863\n", |
||
| 2910 | "Test Accuracy: 53.8%\n", |
||
| 2911 | "Epoch 141\n", |
||
| 2912 | "Train Loss: 0.00386\n", |
||
| 2913 | "Train Accuracy: 100.0%\n", |
||
| 2914 | "Test Loss: 2.13880\n", |
||
| 2915 | "Test Accuracy: 53.8%\n", |
||
| 2916 | "Epoch 142\n", |
||
| 2917 | "Train Loss: 0.00386\n", |
||
| 2918 | "Train Accuracy: 100.0%\n", |
||
| 2919 | "Test Loss: 2.13882\n", |
||
| 2920 | "Test Accuracy: 53.8%\n", |
||
| 2921 | "Epoch 143\n", |
||
| 2922 | "Train Loss: 0.00386\n", |
||
| 2923 | "Train Accuracy: 100.0%\n", |
||
| 2924 | "Test Loss: 2.13900\n", |
||
| 2925 | "Test Accuracy: 53.8%\n", |
||
| 2926 | "Epoch 144\n", |
||
| 2927 | "Train Loss: 0.00386\n", |
||
| 2928 | "Train Accuracy: 100.0%\n", |
||
| 2929 | "Test Loss: 2.13884\n", |
||
| 2930 | "Test Accuracy: 53.8%\n", |
||
| 2931 | "Epoch 145\n", |
||
| 2932 | "Train Loss: 0.00386\n", |
||
| 2933 | "Train Accuracy: 100.0%\n", |
||
| 2934 | "Test Loss: 2.13905\n", |
||
| 2935 | "Test Accuracy: 53.8%\n", |
||
| 2936 | "Epoch 146\n", |
||
| 2937 | "Train Loss: 0.00386\n", |
||
| 2938 | "Train Accuracy: 100.0%\n", |
||
| 2939 | "Test Loss: 2.13930\n", |
||
| 2940 | "Test Accuracy: 53.8%\n", |
||
| 2941 | "Epoch 147\n", |
||
| 2942 | "Train Loss: 0.00386\n", |
||
| 2943 | "Train Accuracy: 100.0%\n", |
||
| 2944 | "Test Loss: 2.13904\n", |
||
| 2945 | "Test Accuracy: 53.8%\n", |
||
| 2946 | "Epoch 148\n", |
||
| 2947 | "Train Loss: 0.00386\n", |
||
| 2948 | "Train Accuracy: 100.0%\n", |
||
| 2949 | "Test Loss: 2.13910\n", |
||
| 2950 | "Test Accuracy: 53.8%\n", |
||
| 2951 | "Epoch 149\n", |
||
| 2952 | "Train Loss: 0.00386\n", |
||
| 2953 | "Train Accuracy: 100.0%\n", |
||
| 2954 | "Test Loss: 2.13929\n", |
||
| 2955 | "Test Accuracy: 53.8%\n", |
||
| 2956 | "Epoch 150\n", |
||
| 2957 | "Train Loss: 0.00386\n", |
||
| 2958 | "Train Accuracy: 100.0%\n", |
||
| 2959 | "Test Loss: 2.13936\n", |
||
| 2960 | "Test Accuracy: 53.8%\n", |
||
| 2961 | "Epoch 151\n", |
||
| 2962 | "Train Loss: 0.00386\n", |
||
| 2963 | "Train Accuracy: 100.0%\n", |
||
| 2964 | "Test Loss: 2.13922\n", |
||
| 2965 | "Test Accuracy: 53.8%\n", |
||
| 2966 | "Epoch 152\n", |
||
| 2967 | "Train Loss: 0.00386\n", |
||
| 2968 | "Train Accuracy: 100.0%\n", |
||
| 2969 | "Test Loss: 2.13914\n", |
||
| 2970 | "Test Accuracy: 53.8%\n", |
||
| 2971 | "Epoch 153\n", |
||
| 2972 | "Train Loss: 0.00386\n", |
||
| 2973 | "Train Accuracy: 100.0%\n", |
||
| 2974 | "Test Loss: 2.13920\n", |
||
| 2975 | "Test Accuracy: 53.8%\n", |
||
| 2976 | "Epoch 154\n", |
||
| 2977 | "Train Loss: 0.00386\n", |
||
| 2978 | "Train Accuracy: 100.0%\n", |
||
| 2979 | "Test Loss: 2.13917\n", |
||
| 2980 | "Test Accuracy: 53.8%\n", |
||
| 2981 | "Epoch 155\n", |
||
| 2982 | "Train Loss: 0.00386\n", |
||
| 2983 | "Train Accuracy: 100.0%\n", |
||
| 2984 | "Test Loss: 2.13886\n", |
||
| 2985 | "Test Accuracy: 53.8%\n", |
||
| 2986 | "Epoch 156\n", |
||
| 2987 | "Train Loss: 0.00386\n", |
||
| 2988 | "Train Accuracy: 100.0%\n", |
||
| 2989 | "Test Loss: 2.13876\n", |
||
| 2990 | "Test Accuracy: 53.8%\n", |
||
| 2991 | "Epoch 157\n", |
||
| 2992 | "Train Loss: 0.00386\n", |
||
| 2993 | "Train Accuracy: 100.0%\n", |
||
| 2994 | "Test Loss: 2.13872\n", |
||
| 2995 | "Test Accuracy: 53.8%\n", |
||
| 2996 | "Epoch 158\n", |
||
| 2997 | "Train Loss: 0.00386\n", |
||
| 2998 | "Train Accuracy: 100.0%\n", |
||
| 2999 | "Test Loss: 2.13894\n", |
||
| 3000 | "Test Accuracy: 53.8%\n", |
||
| 3001 | "Epoch 159\n", |
||
| 3002 | "Train Loss: 0.00386\n", |
||
| 3003 | "Train Accuracy: 100.0%\n", |
||
| 3004 | "Test Loss: 2.13930\n", |
||
| 3005 | "Test Accuracy: 53.8%\n" |
||
| 3006 | ] |
||
| 3007 | }, |
||
| 3008 | { |
||
| 3009 | "data": { |
||
| 3010 | "text/plain": [ |
||
| 3011 | "ShallowFBCSPNet_SpecializedTrainer(filename=None, network=None)" |
||
| 3012 | ] |
||
| 3013 | }, |
||
| 3014 | "execution_count": 36, |
||
| 3015 | "metadata": { |
||
| 3016 | "tags": [] |
||
| 3017 | }, |
||
| 3018 | "output_type": "execute_result" |
||
| 3019 | } |
||
| 3020 | ], |
||
| 3021 | "source": [ |
||
| 3022 | "\n", |
||
| 3023 | "\n", |
||
| 3024 | "\n", |
||
| 3025 | "specializedClassifier = ShallowFBCSPNet_SpecializedTrainer(network=classifier.model)\n", |
||
| 3026 | "specializedClassifier.lr = 0.01\n", |
||
| 3027 | "#specializedClassifier.configure(initial_lr=0.01)\n", |
||
| 3028 | "specializedClassifier.fit(X,y)\n" |
||
| 3029 | ] |
||
| 3030 | }, |
||
| 3031 | { |
||
| 3032 | "cell_type": "code", |
||
| 3033 | "execution_count": 0, |
||
| 3034 | "metadata": { |
||
| 3035 | "colab": {}, |
||
| 3036 | "colab_type": "code", |
||
| 3037 | "id": "Jm1HclDBt9LB" |
||
| 3038 | }, |
||
| 3039 | "outputs": [], |
||
| 3040 | "source": [ |
||
| 3041 | "\n", |
||
| 3042 | "\n", |
||
| 3043 | "Subject 1:\n", |
||
| 3044 | "Train Loss: 0.01462\n", |
||
| 3045 | "Train Accuracy: 100.0%\n", |
||
| 3046 | "Test Loss: 0.46110\n", |
||
| 3047 | "Test Accuracy: 87.5%\n", |
||
| 3048 | "\n", |
||
| 3049 | " \n", |
||
| 3050 | "Subject 2:\n", |
||
| 3051 | "Train Loss: 0.02354\n", |
||
| 3052 | "Train Accuracy: 100.0%\n", |
||
| 3053 | "Test Loss: 0.22113\n", |
||
| 3054 | "Test Accuracy: 100.0% \n" |
||
| 3055 | ] |
||
| 3056 | }, |
||
| 3057 | { |
||
| 3058 | "cell_type": "markdown", |
||
| 3059 | "metadata": { |
||
| 3060 | "colab_type": "text", |
||
| 3061 | "id": "B7W6H24AJhKl" |
||
| 3062 | }, |
||
| 3063 | "source": [ |
||
| 3064 | "Best scores so far:\n", |
||
| 3065 | "\n", |
||
| 3066 | "Subject 0: 76.9%\n", |
||
| 3067 | "Subject 1 50.0%\n", |
||
| 3068 | "\n", |
||
| 3069 | "\n" |
||
| 3070 | ] |
||
| 3071 | } |
||
| 3072 | ], |
||
| 3073 | "metadata": { |
||
| 3074 | "accelerator": "GPU", |
||
| 3075 | "colab": { |
||
| 3076 | "collapsed_sections": [], |
||
| 3077 | "name": "bnci-002-2014-ShallowFBCSPNet-colab.ipynb", |
||
| 3078 | "provenance": [], |
||
| 3079 | "version": "0.3.2" |
||
| 3080 | }, |
||
| 3081 | "kernelspec": { |
||
| 3082 | "display_name": "Python 3", |
||
| 3083 | "language": "python", |
||
| 3084 | "name": "python3" |
||
| 3085 | }, |
||
| 3086 | "language_info": { |
||
| 3087 | "codemirror_mode": { |
||
| 3088 | "name": "ipython", |
||
| 3089 | "version": 3 |
||
| 3090 | }, |
||
| 3091 | "file_extension": ".py", |
||
| 3092 | "mimetype": "text/x-python", |
||
| 3093 | "name": "python", |
||
| 3094 | "nbconvert_exporter": "python", |
||
| 3095 | "pygments_lexer": "ipython3", |
||
| 3096 | "version": "3.6.4" |
||
| 3097 | } |
||
| 3098 | }, |
||
| 3099 | "nbformat": 4, |
||
| 3100 | "nbformat_minor": 1 |
||
| 3101 | } |