1030 lines (1030 with data), 394.1 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"id": "VGCYrVKDW2k6"
},
"outputs": [],
"source": [
"# For tips on running notebooks in Google Colab, see\n",
"# https://pytorch.org/tutorials/beginner/colab\n",
"%matplotlib inline\n",
"#from google.colab import drive\n",
"#drive.mount('/content/gdrive/', force_remount=True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "RiiUBIxUW2k9"
},
"source": [
"\n",
"# Transfer Learning for Computer Vision Tutorial\n",
"**Author**: [Sasank Chilamkurthy](https://chsasank.github.io)\n",
"\n",
"In this tutorial, you will learn how to train a convolutional neural network for\n",
"image classification using transfer learning. You can read more about the transfer\n",
"learning at [cs231n notes](https://cs231n.github.io/transfer-learning/)_\n",
"\n",
"Quoting these notes,\n",
"\n",
" In practice, very few people train an entire Convolutional Network\n",
" from scratch (with random initialization), because it is relatively\n",
" rare to have a dataset of sufficient size. Instead, it is common to\n",
" pretrain a ConvNet on a very large dataset (e.g. ImageNet, which\n",
" contains 1.2 million images with 1000 categories), and then use the\n",
" ConvNet either as an initialization or a fixed feature extractor for\n",
" the task of interest.\n",
"\n",
"These two major transfer learning scenarios look as follows:\n",
"\n",
"- **Finetuning the ConvNet**: Instead of random initialization, we\n",
" initialize the network with a pretrained network, like the one that is\n",
" trained on imagenet 1000 dataset. Rest of the training looks as\n",
" usual.\n",
"- **ConvNet as fixed feature extractor**: Here, we will freeze the weights\n",
" for all of the network except that of the final fully connected\n",
" layer. This last fully connected layer is replaced with a new one\n",
" with random weights and only this layer is trained.\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "XyEZTo0NW2k_",
"outputId": "0c31a429-677b-46c3-e3bb-28c6fa6b11fa"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<contextlib.ExitStack at 0x7eff730c74f0>"
]
},
"metadata": {},
"execution_count": 11
}
],
"source": [
"# License: BSD\n",
"# Author: Sasank Chilamkurthy\n",
"\n",
"from __future__ import print_function, division\n",
"\n",
"import torch\n",
"import torch.nn as nn\n",
"import torch.optim as optim\n",
"from torch.optim import lr_scheduler\n",
"import torch.backends.cudnn as cudnn\n",
"import numpy as np\n",
"import torchvision\n",
"from torchvision import datasets, models, transforms\n",
"import matplotlib.pyplot as plt\n",
"import time\n",
"import os\n",
"import copy\n",
"\n",
"cudnn.benchmark = True\n",
"plt.ion() # interactive mode"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "iehYC9-cW2lA"
},
"source": [
"## Load Data\n",
"\n",
"We will use torchvision and torch.utils.data packages for loading the\n",
"data.\n",
"\n",
"The problem we're going to solve today is to train a model to classify\n",
"**ants** and **bees**. We have about 120 training images each for ants and bees.\n",
"There are 75 validation images for each class. Usually, this is a very\n",
"small dataset to generalize upon, if trained from scratch. Since we\n",
"are using transfer learning, we should be able to generalize reasonably\n",
"well.\n",
"\n",
"This dataset is a very small subset of imagenet.\n",
"\n",
".. Note ::\n",
" Download the data from\n",
" [here](https://download.pytorch.org/tutorial/hymenoptera_data.zip)\n",
" and extract it to the current directory.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"id": "7UvqjeCdW2lA"
},
"outputs": [],
"source": [
"# Data augmentation and normalization for training\n",
"# Just normalization for validation\n",
"data_transforms = {\n",
" 'train': transforms.Compose([\n",
" transforms.RandomResizedCrop(224),\n",
" transforms.RandomHorizontalFlip(),\n",
" transforms.ToTensor(),\n",
" transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
" ]),\n",
" 'val': transforms.Compose([\n",
" transforms.Resize(256),\n",
" transforms.CenterCrop(224),\n",
" transforms.ToTensor(),\n",
" transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
" ]),\n",
"}\n",
"\n",
"data_dir = '/content/gdrive/MyDrive/Colab Notebooks/data/4_cl_2xbraintumor_data'\n",
"image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x),\n",
" data_transforms[x])\n",
" for x in ['train', 'val']}\n",
"dataloaders = {x: torch.utils.data.DataLoader(image_datasets[x], batch_size=6,\n",
" shuffle=True, num_workers=4)\n",
" for x in ['train', 'val']}\n",
"dataset_sizes = {x: len(image_datasets[x]) for x in ['train', 'val']}\n",
"class_names = image_datasets['train'].classes\n",
"\n",
"device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MFDw_v0wW2lA"
},
"source": [
"### Visualize a few images\n",
"Let's visualize a few training images so as to understand the data\n",
"augmentations.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 166
},
"id": "tceMTgC6W2lB",
"outputId": "fd4058c3-bac5-40cb-8908-d2837b733ea1"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"def imshow(inp, title=None):\n",
" \"\"\"Display image for Tensor.\"\"\"\n",
" inp = inp.numpy().transpose((1, 2, 0))\n",
" mean = np.array([0.485, 0.456, 0.406])\n",
" std = np.array([0.229, 0.224, 0.225])\n",
" inp = std * inp + mean\n",
" inp = np.clip(inp, 0, 1)\n",
" plt.imshow(inp)\n",
" if title is not None:\n",
" plt.title(title)\n",
" plt.pause(0.001) # pause a bit so that plots are updated\n",
"\n",
"\n",
"# Get a batch of training data\n",
"inputs, classes = next(iter(dataloaders['train']))\n",
"\n",
"# Make a grid from batch\n",
"out = torchvision.utils.make_grid(inputs)\n",
"\n",
"imshow(out, title=[class_names[x] for x in classes])"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "mq3LbRiQW2lB"
},
"source": [
"## Training the model\n",
"\n",
"Now, let's write a general function to train a model. Here, we will\n",
"illustrate:\n",
"\n",
"- Scheduling the learning rate\n",
"- Saving the best model\n",
"\n",
"In the following, parameter ``scheduler`` is an LR scheduler object from\n",
"``torch.optim.lr_scheduler``.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"id": "utSazWwYW2lC"
},
"outputs": [],
"source": [
"def train_model(model, criterion, optimizer, scheduler, num_epochs=30):\n",
" since = time.time()\n",
"\n",
" best_model_wts = copy.deepcopy(model.state_dict())\n",
" best_acc = 0.0\n",
"\n",
" for epoch in range(num_epochs):\n",
" print(f'Epoch {epoch}/{num_epochs - 1}')\n",
" print('-' * 10)\n",
"\n",
" # Each epoch has a training and validation phase\n",
" for phase in ['train', 'val']:\n",
" if phase == 'train':\n",
" model.train() # Set model to training mode\n",
" else:\n",
" model.eval() # Set model to evaluate mode\n",
"\n",
" running_loss = 0.0\n",
" running_corrects = 0\n",
"\n",
" # Iterate over data.\n",
" for inputs, labels in dataloaders[phase]:\n",
" inputs = inputs.to(device)\n",
" labels = labels.to(device)\n",
"\n",
" # zero the parameter gradients\n",
" optimizer.zero_grad()\n",
"\n",
" # forward\n",
" # track history if only in train\n",
" with torch.set_grad_enabled(phase == 'train'):\n",
" outputs = model(inputs)\n",
" _, preds = torch.max(outputs, 1)\n",
" loss = criterion(outputs, labels)\n",
"\n",
" # backward + optimize only if in training phase\n",
" if phase == 'train':\n",
" loss.backward()\n",
" optimizer.step()\n",
"\n",
" # statistics\n",
" running_loss += loss.item() * inputs.size(0)\n",
" running_corrects += torch.sum(preds == labels.data)\n",
" if phase == 'train':\n",
" scheduler.step()\n",
"\n",
" epoch_loss = running_loss / dataset_sizes[phase]\n",
" epoch_acc = running_corrects.double() / dataset_sizes[phase]\n",
"\n",
" print(f'{phase} Loss: {epoch_loss:.4f} Acc: {epoch_acc:.4f}')\n",
"\n",
" # deep copy the model\n",
" if phase == 'val' and epoch_acc > best_acc:\n",
" best_acc = epoch_acc\n",
" best_model_wts = copy.deepcopy(model.state_dict())\n",
"\n",
" print()\n",
"\n",
" time_elapsed = time.time() - since\n",
" print(f'Training complete in {time_elapsed // 60:.0f}m {time_elapsed % 60:.0f}s')\n",
" print(f'Best val Acc: {best_acc:4f}')\n",
"\n",
" # load best model weights\n",
" model.load_state_dict(best_model_wts)\n",
" return model"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "h09FnkFVW2lC"
},
"source": [
"### Visualizing the model predictions\n",
"\n",
"Generic function to display predictions for a few images\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"id": "MVpCbBziW2lC"
},
"outputs": [],
"source": [
"def visualize_model(model, num_images=6):\n",
" was_training = model.training\n",
" model.eval()\n",
" images_so_far = 0\n",
" fig = plt.figure()\n",
"\n",
" with torch.no_grad():\n",
" for i, (inputs, labels) in enumerate(dataloaders['val']):\n",
" inputs = inputs.to(device)\n",
" labels = labels.to(device)\n",
"\n",
" outputs = model(inputs)\n",
" _, preds = torch.max(outputs, 1)\n",
"\n",
" for j in range(inputs.size()[0]):\n",
" images_so_far += 1\n",
" ax = plt.subplot(num_images//2, 2, images_so_far)\n",
" ax.axis('off')\n",
" ax.set_title(f'predicted: {class_names[preds[j]]}')\n",
" imshow(inputs.cpu().data[j])\n",
"\n",
" if images_so_far == num_images:\n",
" model.train(mode=was_training)\n",
" return\n",
" model.train(mode=was_training)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "LxC7G961W2lD"
},
"source": [
"## Finetuning the ConvNet\n",
"\n",
"Load a pretrained model and reset final fully connected layer.\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"id": "d0DTgqMvW2lD"
},
"outputs": [],
"source": [
"model_ft = models.resnet18(weights='IMAGENET1K_V1')\n",
"num_ftrs = model_ft.fc.in_features\n",
"# Here the size of each output sample is set to 2.\n",
"# Alternatively, it can be generalized to ``nn.Linear(num_ftrs, len(class_names))``.\n",
"model_ft.fc = nn.Linear(num_ftrs, 4)\n",
"\n",
"model_ft = model_ft.to(device)\n",
"\n",
"criterion = nn.CrossEntropyLoss()\n",
"\n",
"# Observe that all parameters are being optimized\n",
"optimizer_ft = optim.SGD(model_ft.parameters(), lr=0.001, momentum=0.93)\n",
"\n",
"# Decay LR by a factor of 0.1 every 7 epochs\n",
"exp_lr_scheduler = lr_scheduler.StepLR(optimizer_ft, step_size=7, gamma=0.1)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "asgAWJjkW2lD"
},
"source": [
"### Train and evaluate\n",
"\n",
"It should take around 15-25 min on CPU. On GPU though, it takes less than a\n",
"minute.\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "RX6GdXXJW2lE",
"outputId": "c4a20af0-7549-4908-8d0a-a5187d059d58"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Epoch 0/29\n",
"----------\n",
"train Loss: 0.9037 Acc: 0.6440\n",
"val Loss: 1.0443 Acc: 0.6758\n",
"\n",
"Epoch 1/29\n",
"----------\n",
"train Loss: 0.7274 Acc: 0.7292\n",
"val Loss: 0.4316 Acc: 0.8447\n",
"\n",
"Epoch 2/29\n",
"----------\n",
"train Loss: 0.6643 Acc: 0.7586\n",
"val Loss: 0.4597 Acc: 0.8447\n",
"\n",
"Epoch 3/29\n",
"----------\n",
"train Loss: 0.5369 Acc: 0.8306\n",
"val Loss: 0.5006 Acc: 0.8396\n",
"\n",
"Epoch 4/29\n",
"----------\n",
"train Loss: 0.6503 Acc: 0.7850\n",
"val Loss: 0.3734 Acc: 0.8857\n",
"\n",
"Epoch 5/29\n",
"----------\n",
"train Loss: 0.4327 Acc: 0.8519\n",
"val Loss: 0.2479 Acc: 0.9164\n",
"\n",
"Epoch 6/29\n",
"----------\n",
"train Loss: 0.4147 Acc: 0.8621\n",
"val Loss: 0.2033 Acc: 0.9232\n",
"\n",
"Epoch 7/29\n",
"----------\n",
"train Loss: 0.3283 Acc: 0.8753\n",
"val Loss: 0.1935 Acc: 0.9334\n",
"\n",
"Epoch 8/29\n",
"----------\n",
"train Loss: 0.2505 Acc: 0.9138\n",
"val Loss: 0.1560 Acc: 0.9403\n",
"\n",
"Epoch 9/29\n",
"----------\n",
"train Loss: 0.2626 Acc: 0.9016\n",
"val Loss: 0.1529 Acc: 0.9369\n",
"\n",
"Epoch 10/29\n",
"----------\n",
"train Loss: 0.2506 Acc: 0.9128\n",
"val Loss: 0.1767 Acc: 0.9352\n",
"\n",
"Epoch 11/29\n",
"----------\n",
"train Loss: 0.2370 Acc: 0.9128\n",
"val Loss: 0.1624 Acc: 0.9386\n",
"\n",
"Epoch 12/29\n",
"----------\n",
"train Loss: 0.2468 Acc: 0.9168\n",
"val Loss: 0.1703 Acc: 0.9317\n",
"\n",
"Epoch 13/29\n",
"----------\n",
"train Loss: 0.2402 Acc: 0.9168\n",
"val Loss: 0.1779 Acc: 0.9386\n",
"\n",
"Epoch 14/29\n",
"----------\n",
"train Loss: 0.1980 Acc: 0.9381\n",
"val Loss: 0.1943 Acc: 0.9334\n",
"\n",
"Epoch 15/29\n",
"----------\n",
"train Loss: 0.1967 Acc: 0.9371\n",
"val Loss: 0.1763 Acc: 0.9369\n",
"\n",
"Epoch 16/29\n",
"----------\n",
"train Loss: 0.2356 Acc: 0.9280\n",
"val Loss: 0.2043 Acc: 0.9369\n",
"\n",
"Epoch 17/29\n",
"----------\n",
"train Loss: 0.2226 Acc: 0.9290\n",
"val Loss: 0.1626 Acc: 0.9403\n",
"\n",
"Epoch 18/29\n",
"----------\n",
"train Loss: 0.2015 Acc: 0.9320\n",
"val Loss: 0.1505 Acc: 0.9420\n",
"\n",
"Epoch 19/29\n",
"----------\n",
"train Loss: 0.1846 Acc: 0.9351\n",
"val Loss: 0.1794 Acc: 0.9317\n",
"\n",
"Epoch 20/29\n",
"----------\n",
"train Loss: 0.2105 Acc: 0.9320\n",
"val Loss: 0.1789 Acc: 0.9334\n",
"\n",
"Epoch 21/29\n",
"----------\n",
"train Loss: 0.2268 Acc: 0.9178\n",
"val Loss: 0.1811 Acc: 0.9334\n",
"\n",
"Epoch 22/29\n",
"----------\n",
"train Loss: 0.1952 Acc: 0.9280\n",
"val Loss: 0.1630 Acc: 0.9403\n",
"\n",
"Epoch 23/29\n",
"----------\n",
"train Loss: 0.1800 Acc: 0.9391\n",
"val Loss: 0.1819 Acc: 0.9386\n",
"\n",
"Epoch 24/29\n",
"----------\n",
"train Loss: 0.2411 Acc: 0.9097\n",
"val Loss: 0.1340 Acc: 0.9437\n",
"\n",
"Epoch 25/29\n",
"----------\n",
"train Loss: 0.2269 Acc: 0.9249\n",
"val Loss: 0.1682 Acc: 0.9369\n",
"\n",
"Epoch 26/29\n",
"----------\n",
"train Loss: 0.1917 Acc: 0.9341\n",
"val Loss: 0.1640 Acc: 0.9369\n",
"\n",
"Epoch 27/29\n",
"----------\n",
"train Loss: 0.1996 Acc: 0.9290\n",
"val Loss: 0.1520 Acc: 0.9420\n",
"\n",
"Epoch 28/29\n",
"----------\n",
"train Loss: 0.2042 Acc: 0.9260\n",
"val Loss: 0.1692 Acc: 0.9334\n",
"\n",
"Epoch 29/29\n",
"----------\n",
"train Loss: 0.1775 Acc: 0.9300\n",
"val Loss: 0.1755 Acc: 0.9334\n",
"\n",
"Training complete in 6m 35s\n",
"Best val Acc: 0.943686\n"
]
}
],
"source": [
"model_ft = train_model(model_ft, criterion, optimizer_ft, exp_lr_scheduler,\n",
" num_epochs=30)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 923
},
"id": "BD6f3RK7W2lE",
"outputId": "a3e0c471-cb17-419a-e3b3-3034e1492f69"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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uFqWJRqPi73JS2Gw2qZYpKirKQT5YOEpfPBKJYHx8HMlkEna7HTabDZWVlfB6vSgvL8eyZctQX18Pi8WCY8eO4Y033sC+ffvQ3d0Ns9mMeDwu/r3BYEAmk8kJVqe7N/n36eOgHDQkswr9IXImFfrDhMpuNpuRSCTgcDgwPj4Oj8eDDRs24IorrkBDQwMOHDiA7du3Y8+ePRgZGUE0GoVer4fZbEZJSQnKy8vFVWBfiaKiIsRiMQwMDGB0dBSVlZWiZIlEAgsXLoTb7UYymcyZFH19fRgZGYHP54NOp0MikZDz1NfX44ILLsCqVatQWVmJXbt24dlnn8Xu3btlRSDqko+cZLPZM6/QmAxAZxX6Q+RvrdCEyAwGA2pra3Hdddfh8ssvR0dHB1544QXs2rULwWAQOp0OFRUVsNvtmDNnDsrLy9HQ0ACHw4FsNov+/n4cPXoURUVFKC8vR0lJCSorK/HKK69g//79cLlciMViuOuuu6SOLplMijLa7XYUFxfDZrPhhRdegMPhQDqdRn9/P8bHxxGPx5FOp1FRUYHLL78cmzdvhsViwcMPP4xXX30VoVAIOp0O8XgcdrtdlFpgP/3JV6uzSaH/z6AcVGAGhWoyw2w2Y/Xq1bj99ttRVVWF3/72t9iyZQtGR0dhNpuxaNEiNDQ0oKioCKlUCnq9HuPj46ioqMDFF1+Mvr4+/O53v0N5eTkMBgMCgQCsViuOHz+Oq6++GjU1NXjxxRdx0003YdGiRXj++ecRi8XETbFYLMhkMrDb7bjsssvgdrvh9XoRCAQwODiIcDiMsbExdHV14fjx43j00UfxwQcf4MYbb8T3vvc9tLS04PHHH8fQ0BA0TUMikYBOp4PRaITRaJziy4sN+0vAEE0DChBN+T+j0AAkU0cslw/9wgsvxJe+9CXYbDb87Gc/k7ZUa9euRVlZmfin9FVp1Y8ePSpW2uPxoK+vD9lsFhaLBT6fD9lsFqOjozAajWhubsbcuXOxd+9eQVNSqRTi8bgo3vj4OEwmE+rr63H06FEMDQ0hkUgglUrB5XLhnHPOwYIFC9DW1ob3338fIyMjuPPOO3HFFVdA0zQ8+eST6OvrQzqdzgkK6VfzHnAyf1TJT6ycDO//JOX/jsuhTaaNGQgWFxdj7ty5+N73vgdN0/CLX/wCx44dwznnnIMNGzbA7Xaju7sbfr9f0t8MvOhLNzQ0YN68eQgGg9i5cyei0SiACd/c4XBIRlDTNCxatAhHjx6FTqdDJBIBAPGTnU4nvF4vKioqcPz4cVF0NakyPj4Op9MJj8eD9vZ2/PGPf4TT6cRtt92GSy65BP/zP/+DX/7ylwCAYDCITCYjk3dahf6zLn5c2I7fm3U5PgHhA7NarUin0/B4PJg7dy7uvvtuJBIJPPLIIzh8+DDOPfdcVFRUIBAIIBQKIRQKCUZtNBrF7wUmelr4/X68/fbbAslls1nxiekfx2IxVFVViRU2GAySaVSzkn6/HwMDA0gmkxLgxeNxZDIZVFZWyvcTiQRWrlyJVCqFt956Cw899BDC4TCuuOIKJBIJ/OpXvxLYMJlMSqKHAWOhWdUzKWeVQn9oSvzPf2LWrr6+HnfffTdcLhcefvhhnDhxAueddx5KS0thNBoRDAZhtVoFiRgfH8/xRXW6iXa8FosFkUgEgUAAJpMJqVQKVqtVfPVMJoNMJgOTyQSXywWPx4NAICC+rqZpknZPp9OiyFR0IhXDw8OoqKiQPtsjIyOYO3cuwuEwOjo68PTTT8Pr9eKaa65BJBLBM888g2AwCLPZjPHxcRnPX+MeF5IUFrPkJKK6GCrTLF/yI/F8F8VkMiEWi8Hr9eLmm29GY2Mj/uu//gt79+7FkiVLJKijJQ6Hw7BarZL+TiQSSKfT0DQN6XRa0Ae+9vv9SCaTsFgsOZBZcXExQqEQdu3ahZGREaTTaZkoVFzCdEzq8LsAJGgcHh5GOp1GOp1GPB6H0+nEqlWrsHz5ciSTSTzyyCPo7OzEzTffjM9+9rOwWCySVTQYDDAYDKLUOp1uAqrQJu+xSp46nXtciJZ+Rig0MOG7ZbUJPJX/oAOgy/PrprnZZMLxgV166aU477zz8Nxzz2Hbtm1oaWlBRUWFUDrpVsTjcUSjUUlS0IrSH6W1TCaTovA8j8FggMPhEKWKRqNyLLobDPgYuKndO6m0qVRKPhOPxwUdMRqNcLlcWL16NTZv3owLL7wQ8XgcDzzwAILBIG688UYsWLAgB91QV5ePeo+n3NtZhf7khL6q0WhEU1MTLrroIvzpT3/C008/jZaWFlxwwQXIZDLCbKOC0grT96RPS1YcXZFYLIZoNAqdTie+NN0Gp9MJt9sNu92OcDics+wT7Ugmk4hEIuJzM2tIHJkTiOc0GAwoKyvD+Pg4Xn31VezYsQMlJSVYu3YtTpw4gR/96EfIZDK4/vrr4XA4pgSFJ2useDbIWavQXEK55DItfdNNN8FsNmPLli1wu91Yt24dstmsBFtqkKYqF60oAFEyfoZuCOE8Krnf75cgsKqqCtXV1bBYLDCZTDCbzWKRI5EI/H4/otEoEolEjkLnW0Ey+mKxGNrb25FOp2G1WmE0GlFUVISlS5di7969+P3vf48LLrgAV1xxRY4rQVrq2SoFq9D5D1KHSZ9vSmCiTa0+4dLIB2g0GrFy5UqsXbsWr7zyCgKBANauXQudToeRkREh45tMJlHWdDot/GXum0ILS2XmOVWeMt/XNA2hUAijo6OwWCzwer2yWphMJvHPCQnS4lOpaVVVRUwmkxgYGBCMmi5INptFfX097rnnHqxduxZbt27Fu+++i6uvvhpNTU2w2Wwwm81TkiwfRXL86w/xsz9JKUiFpjLmlxd9mOQHjbSY5DSTbPTuu+/irbfekp0FxsbGYDabpbm2SpznxKCi0Xrz//xyKZ5fHTf/Fo/HxWfOZ+IxWONEAiDnUJWI/jknGY9BCmswGEQ0GsU3vvENXHDBBXj++edht9tx5ZVXwuFwyPdPVqlzOqKOpxAVunBhO1WJT+PGqaVbRB3MZrPgxytXrkR5eTl++MMfoq6uDpWVlUilUhIAUgmNRqMoGglF6jKt/k2tK2SRgLq0q8dTEx2seqF15vfU402nMMSSgYnETTabhdVqhc1mQzqdxtDQEPx+P1wuF6qrq9HT04PnnnsOX/7yl/Hee+9h7969OVU5TIufTip8uqRVIUJ4BWmhP47kZxaZWs5kMigvL8fatWvx7rvvIhgMorKyUuoF6Sdz6aYwCGQAyN/pM6toB8+vWuRsNituBNGJRCIhfjaTNSaTSWA6FcY7mfXjd4mkGI1GUX6eLxKJYHR0FMuWLcPevXvR0dGBSy+9FHa7XSbe2SpnxZWpyzuVwWazwWg0wmQy4fzzz0cqlcKLL76I8vJyOBwOKV5VXQf6tkxvA9Nj4GpQqC7fVBbVwvK16j4QzQAgAWK+OzDdNapWe3x8XCYbJwlhxnQ6DbfbjfHxcXi9Xjz11FM499xzsWzZMlkd1OsrVEz548hZodDAZBBJq0kEwWQyYfny5Xj77bfh8/nQ3Nyck8hQXYhoNIqxsTEEAgGMj4/DaDRK4Ka2NaCCqi4As30qHZWTgBOLr3k++s5UVk4ufoYKTNeF5yXmTV86FAohHA4DgPjgVPzKykr09PSgs7MTK1askACWVvpss9ZnxdWoykDrynTv3LlzYTAYcPDgQdTU1GDjxo3weDxwuVwoLy9HUVGRkPzD4TBCoVBO6lldolWFVF+TTsqyKIvFgtLSUpSWlkoZFTkZdDHUAFA9vmqJ88lB+bg03aJAICAKHo/HEQwGJYPpdDqhaRpefPFFNDY2wuv15iR3zjYp3KDwIwotIRXbZrPBZDLhsssuw/vvv4/R0VGsXLlSUAums+m/GgwG8XGJAasKla/MtNB0E6i42WwWDocDRUVF8rdYLCbbO7BhjdVqzSnWJYqiLv3qROU51cDRaDQiHo8DmEiPWywWOR5psg6HA3V1dThy5AgSiQQaGxvR09MjK5i62pwNUtgW+jRhIT5cWh2y0hYsWICFCxfi6NGjEvnv378f4XAYmqbB7/djdHRU2G1kpanBWX6Qlm89839cLhfi8bgU0QYCAWQyGeGBqHWLqltCa5sf3PKc6rXS9WHgywlptVoFfiTHOpvNoqmpCfF4HEePHsW6deuk7pHXdTa5HYV7JacC8KdJsvDBsvrjqquuwt69e9Hd3Y2mpiYYjUYhAAWDwRzuBJEIZgUnhjAJ1anWWvVxgUm/nalzNQiMxWKSzVMzl7SiRFhisVjOefIJRWoFisViyYEkjUYj7HY7DAaDWGnyRuLxOIqKilBcXIzdu3dj+fLlaGhoyMG+Kbq8fzNRClKh8xMkAHLJSHlKrkJl2WwWZrMZLS0tmDNnDl577TWUlJSgtLQU4XBYjjs+Pi6WmgqoLu3551DREPWcqqgEKABilVnAys8AEBhPDeLyeR7MPgKTuHd+8GuxWGC1WmG32+F2u3OoqCqzrqKiAqFQCJlMBsuXL5cxcqJNtxrMRClIhT6VqDBdvp9L2G3NmjXo7e2VfQH5kIHJhAl/iErwc/k4cD4kR79bXfZpacnrIAJCHFpVTpKR0uk0otEoIpGIWFqeA4CgGePj42LZ+T7hOpvNBrfbDYvFIjCiCgVy8hqNRkSjUezYsQMXX3wxvF6vxAuqW5VzT2egbs9IhQYwxXrRVXA4HCgvL8eCBQuwe/duRKNReXAquSiZTMpSTwQif2VQrbGqaERT7Ha7WMRkMolQKIRYLDalw6hKE+Ux9Xo9otEogsGg1DrSheA56FcTfSF5imOl3+z1emG324VvYrFY5D7RzVILd+vr6zF//nzx4S0WSw5EOJNlxqIcqhVlOplWaMOGDdA0DQcOHIDRaERxcbFk1FTqJ5WIykP/W32w+ZwMpqqZuAmFQjnsOOLN9KWZWmf1CDAJz6kcapvNJv6vmrBR3QdN0wQbNxqNgsyMj4/DZrMJAYl8Dwa4o6OjiMfjAukNDAzgwgsvxAcffCA4Ou9PPuLxUVpDFILMWIVWyUNqMGi1WrFy5UocP34cfr8fZrNZUtw2m03Knmid6D+raWQqOjnSVFD6ufw++9GNjo4iFAohmUzm8KJVhU6lUigrK5PiWvKfOe6amhrJ9hENoQLb7XaZDAaDAXa7XVaBbDYrDSBZ3sXCW06uSCSCsbExQVZ27dqFNWvWoKamBuFwWO7P2SAzVqHzgxcmHZxOJ+rq6vDOO+/A4/EgnU7D5XLB6/VKq63x8XGxikQ8aAUtFgtsNlsO2Sk/HU3/WNM01NfXw+VyoaenR0qwYrFYTmsunU4n5Vp0gYg7ezweVFdXw+FwCB9aJTbZbDa4XK6ciRWJRIQhyElhMBjg8Xhy0BUVUWH/j3A4jL1792L9+vVoaWnBiRMnEIvFRKlVCsHExf7NHukZkRnpQ6s+rspdNplMWL16NXw+H1pbWxEIBCRjp8JidA/MZjOsVqtE+plMBjabTfrLeTweUUoGZGpSY2xsDKOjo3C5XMI5djqd0Ov14jczZR2JRKQdLl0No9EIp9OZo/D59Fc1WNS0CY5KbW0tnE6nWOt0Oo2RkREcO3YMAwMD0msvHo+jtLQUV155JaqqqiSB09fXh+7ublx00UU5rlc+l3wmyoxUaAA57gYfhNPpxCWXXIL3339ffEi9Xo+1a9fi3HPPFcVnbwsqF6210+mUQE51SejSqCgDFW5wcBAnTpzA2NiYKCfPQ4un9p622WxitZnNTCQS8Pv9knDJr20kOsP2B4lEAsXFxSgrK4PRaJR2ZDrdZE9rjrmiogKNjY244IILpHrcZDJhx44dqKqqksJgtmbIhx5nmswchdaQA/jTf+R2D2azGfPmzUNjYyOOHj0qvmllZSUaGxuxfv16XHPNNWhoaEBpaan0juODY5CnFq3mcy1UqDCRSAjJnn43W/Cyjk9Nl1PRGbw6nU5YLBZxXZiUUdt4qWlsBorMgvb39yORSKCpqQktLS1obGzMmUh0N9imd968eVi3bp20Ktu3bx/8fj/Wrl0rmcP8WEGv10Ovm/iRe3+yqqECkRnhQ6tQVz5eqpKSzjnnHLS1tUmPt6qqKtTU1KCvr0/6PJvNZrS2tmJwcBCBQCCHSplOp+Xhsg6R7gCxWpWqSV9aTUrQ1wUmA1eDwYDS0tKczJzL5ZIJxOvKD8xUQhKvm6QjnU4Hv98Pm82GT33qUygqKpJWB2wpZjKZMD4+jvnz56OhoQFerxc7d+7E8PAwIpEIdu7ciYsuugivvPKKcExUHFrd60V9DoUsM8JC0zIyOGPAZbfbxVd1u91YsWIFXnvtNQmWysvLMX/+fCxcuBBmsxkDAwPQ6/UoKSkRS2m324UfXVFRgerqamHP8QHS8vGBMwijG6IqMBMeDC45zurqakEn1CaKRFZyUtB/niAqeYkKx7G4XC5ks1lhB5aWlmLDhg0477zz0NzcjOrqajQ3N6O+vh4VFRWIxWLYtm2bIC12ux179uxBdXU1FixYkDMGnldl5M0Un3pGWGjVGlMJWD5F12DNmjWwWCzo7OxEKpWCxWLBwoULsXz5clRXVyOVSiEYDGJkZATBYBDZbBZlZWWCOBiNRjQ2NkpWj8u2uoRzYlFhiUnT8qrpZLowzAJ6PB7BqdnNiMdjJUw+55rHZsaRSAXbK5jNZsn4WSwWNDY2wul0ory8HFVVVbDZbAIrhsNheDwetLS0YGhoCMFgEOFwGMePH8ell16KvXv3CqTIHn6E/VTXqdBlRii0ugQCk0EZgyeHw4HVq1ejt7dXgq+ioiJ8+tOfzmk2Pjo6iu7uboTDYVRUVMBoNOL48eOIRCKw2WxIpVLw+/1iZWkZeW6uDPSZiYCoiRn+zixiKBQSt4bJEKIq9ItJ9lcnjJqKVxs2mkwmOBwOScgEg0Hs2bMHJ06cyAls2Y96+/btaG9vx+joKDKZDD71qU8hHo/jzTffhMvlwltvvYXPf/7zqK6uxrFjxyQxo9JUgUl3r9BlRrgclHyLxWi+rq4OJSUlaG9vh9vtRjabxbJly+B2u3HixAmMjIzAZDKhpaUFOt1EdfTw8DCGhoYwMjKCVCqFaDSKtrY29Pf3i3KqbobK5VDrAKncDMJUl4hYsXosthmj5aeVV90YlWFHBefkVQttjUYjAoEAfD4fent7sXfvXnGjduzYgd/+9rfYvn07ent7haHX0dGBpqYm2YWrs7MTZrMZGzduzMG182sPZ4L/DMwQC03JDw6pDPPmzYPFYsGRI0fg9/tRUlKCT3/604jH4xgbG0MqlcLg4CB6enowPDwMvV4vRbGapsHhcACAtIVVaaUUNfCjxVabzQAQZbTZbLJFBYNEBnI2mw3hcDgnyKTkl2NRqGC04nRPeEyPx4NUKiXWubW1FTt27AAwiZvHYjFp2M6KGu7OtX//fpx77rl49tlnEQgEZAKq6X/1/heyzAiFVh88HwiX9/HxcSxZsgS9vb3w+XzIZDJYtGgRamtrMTY2hr6+Phw5ckSaKHIbX5PJhJKSEkkNqzgulUnFZ1WhW6OWXNGvdTgckmlUudBWq1X2HQQAh8ORg5Co7RLykYX8wFNtkavX62G1WhGLxWA0GtHV1YXDhw9Lqj8Wi4nPzrR8NpvFihUr8PLLLyOVSmHfvn34/Oc/j8rKSmlrRtJVvlIXuswIhVbhOi6DtHClpaWorKzE9u3bhV+8ceNG+Hw+tLW1YXh4GKWlpaitrRU2GymdJpNJCEHEf8ldVmv3VFGDNiogy6/ItGPxrcobUbFlVteQFkpEgcfPPx9FXZXUsS1evBiDg4Po7OyE1WrF0NCQMOhCoZA0Xk8mk8JGXLlyJY4ePYoDBw6gra0NqVQKLS0tOHbs2BRudv4kK2SZEQoNTCZSuByyHrCqqgoulwuDg4OwWq0S5e/YsQPDw8PQ6SZafYVCIdmmuLS0FJlMBl6vF4cPH5YAiw8tf7lXAzeOQ022qGNk9TjbCZABSAacSnjK74uXb4kpKsKi+rac5MPDw7jkkkvwxBNPiHVlrSEZeEzpm0wmHD58GEePHsWcOXNw+PBhhEIhdHR0YMmSJdiyZYs0wFHHkU8tLVSLPSOCQjX9zN+5hRqbxgwPD8NoNGLNmjXo7OxEIpEQ3JdKQ57w2NgY9Ho9amtr4fF4pAUALW5+Gy5gkp+s9uRQO5Cq/ezYn47Uzng8Ln4zVwTi3AzwOFHySVD594GoB++FpmnCmFuwYAH6+/sFmVGFrhC7qyYSCWnu6PP50N3djbq6OthsNlkFVHdDglS9Hjq9frad7l8qkorVT/aTYDmRz+eTChAupbFYDABy6KNUIlo8KhtJ9GoCBchdalWFY4qYn+WPioqQU2E2m1FaWir7GdJysqCV6INq/fN9aDUjqqbByV+x2+1obW1FZWWltE5Qm9ew0ymZgCokt2rVKng8Hhw6dAgOhwNWqzXnns80mREjVpVQXZJJmezq6kI6nZYeHCqnmBCZyWSS5EYgEEAgEBAXhkEcH6bK4gMwBUojPq36scSXmZggoV6v16OsrAwNDQ2oqqrKgR15HtW6q8qr9s9T0RVufUG/H4AQmUpKSnLor/Tlh4eHMTY2loOuhMNhBINBeDweDAwMIJ1OY9GiRQAgUORMk4JV6Hx/TbXMXNbdbjdqamrQ3d0NnU6HhoYGDA8Pi3VS8dRYLIaRkRFRPL/fj1QqhXPOOQcGg0H8XrozqotDaI5EfRVDVi02m6GrJVgej0c24nS5XJJmZ6aO52X5FDA5gadroUBfmulzNpUpKioSlIITj6tGPB5HIBCQUjOm0Y1GI3p7e2E2m9Hb24uuri6ce+65ssKo1yccGhQ2RbogFVoNgPh7PldXp9PB7XajpKQEY2Nj0DQNTU1N4itztysGOOPj49KAXKfTIRwOo6+vD01NTaioqJC9ABk40V2gYgDIWfJV35qIBVEOjl1VRIPBgFgsJj3piHRQqWkR1Z4gXF04mVVXhIgJudDt7e3w+XwCa3JMzE6yRIuuDZl7mqahtrYWZrMZXV1daGpqysHDZ5oUpEIDmGiny59pxGg0orq6WnagcjgcaGpqgtVqRXFxMSwWC5xOp/iYJN4PDg5Ka9v29nb09/fDbrfLdsJUKrUdGN0bILedAJEKsvGYzeN7bC/GYJR7GHKC0IcGMGUFoEXML9rlZJ64RTqBIdnUxmg0SvEvK3S4LQbhRSJFer0edrsdCxcuRGlpKXp7e1FbWytYNzAzkimqFK5Cf4hwia+trUUgEEAqlRJ6JC1PXV0dqqqqRKGBiWYyfr9fNtIMh8PYv39/DvZM9CS/Xa5KW6VPzQ7/0WhU6hl1Op34zzqdTsbHz7FIl8ejT0xfV92CLX91AJDjAgGQ4JM8Z65EOp1OCFRsOBMOhyVDytXBbDbD7XajtLQUwWBQdsVVJ85MUuoZqdCUuro69Pf3IxQKwel0wufzwWKxiEIxtUs8mBlGtcC0u7s7B4dW+2oAue2y1KhfdT/UzzGLqNfrc1Lq8XhcXAgGnyy5os9P5CQfQcnxYRWXi6tEMpkUf3h4eBihUAiapgm3m8rMVg/071m9Yzab4XK54Pf7ZZNQte3CtApdoEo+oxRaDQxtNhsqKyvFJ166dKkw2iKRCCKRiLgWfCjc14T0UyoZ2wAQISEKcLJypPxAie4I8V+2z6UPD0B+V10bFUtW3R0VCyeqoro4Ko+alpvNa3Q6naTa2ShSbVSjjl31p4uLi+VY1dXVci/VeAbIbcRTiJZ7RmUKVXKS3W6Hy+VCW1sbHA4HSkpKMDQ0BJ/PJ+X8bJJIa6oqiYof8weY3OqB1ow7u6pLPi25ioiok02lmapjz+cYA5MKolbI8DsqjVS1yLTg/A4rU9SNjTgZVdoqJxr74KmMQZfLJdg8lZsdTDlOjku9D4WWXJkRCq0GRHygZrMZZWVlGBsbg8PhwNjYmFRvmEymnL0GVWXOD7BY0mSxWOByuWCxWODz+aYEgnxwREzInKNVVXnD/MlvrMhrUdv+qpRTsvzUDkjq8ajgVDan0wmr1Spcb254b7Vaxa+nj87VScXSOd50Og2HwyGrByt6VBx6pqAeM0ahgVxegdVqRSAQwMjIiFAyyUJjASx50Ko1VFtp0erlR//FxcWIRqPw+/0AJvkcHIPakIYWWl09eCwVT+Zr9gRhwMbv5FtAwoH5x2X6nDvJmkwmDA4OIhwOw2g0SnDLTClT2ap7oXZ54qpgNpslaOQ1q+OaVegzKKqlpCVjw5je3l7U1dWJkul0OtTU1Ailkq6D+gNM0jKz2awgEjqdTnxeWlY+4PwgkOcDplaFq5RQdgYtLS1FUVERRkdH5Tt0fTgO/vDY+bWM+cEqu/Yz68k+I6SJ0jIDEFxadWFY/eJ2uxEOh5FKpaTjk4p/834VmnsxncwIhVatKZfIZDKJhoYGlJSUwGq1yrbDjOhJk2R7rmg0KjwKYHIvEuLFVC721qBroAZ/apNETgg1Ja0GThTiwCaTCeXl5ejq6gKAHItPpabC8PjqbrLqrgJ0Ydi8hrAj7w19a3W3WrXKRV1RKMlkElarVTKZ01njfINQiBZ7Rii0uhyrVsPlcsHj8QCYVNBEIoG2tjZ5uGqign4x3QAiD7R25EioSzNxXBW+U+v/qIj5sF46nZZVxO/3I5FIoKenR9LU5GJwyVeVN3+DIN4D+upMoNjtdlE+9r4jB5uWOZvNysZH3JaZPjR5JcxU0j0bGxsDcBI3Q4eCbrM7IxSaN5a+oF6vRyAQwIkTJyRQYtMWKrDaP47HUJVPdWMAiEWk0vBBq61wgdx+HSqcpaa76RYtX74cc+fOFSvKlgLd3d3SU4MTTW2jq64EFLo8RB7yAzt+RuVXq/eO16hOGsYB7FHNScvEzEyUwlVoxTKohBz6d+FwGKOjo7Ifn7r7FRsa0n9WuQlqBpDHJAoSjUZzLKaaiuYSTkuc75dTyShVVVU4//zzMXfuXLzyyisYHh5GUVERNm7ciI6ODrz++uuyg0D+5FLxab6vKi/dBhUjVycXkFu2RiuvGgW1uTr/Lysrg9vtllYO6kSQaytg6wwUaGIlP3GhLrdq6jccDmPOnDniMmQyGSlOJZeDzV7y8V41aZDf/krlC6ui/p2KqE40pqP1ej3q6+sxd+5coW329vaira1NiPhsR6Yu/1w5iBc7HA5JTatbThCNoXISSqTfr255rN4vTgz+TuE52Z6MKfr8e6A+i0L0n4ECttDT3TA1w6ZpGo4fP46WlhYcP34cJSUlUidYWloKv9+f056WJB51uVUJ8OwtR2olAPGzDQaDkPABCHpAJh+Px3HZbDYsWLAAHo8He/bsQUdHBwKBAFwuF5xOJxKJBJqbm2WjIroR3NmWY8hms1LMyzEFAgEJ/NRJwEmWv0moil/TQnMVImZNkhQnAncVoB9f6IGgKgWr0PmiWk4q0sjICLxeL3Q6HRYvXozR0VFJdxPVYEIFgDxsUjepxMSF2d+Z36FCkLBDRhzxYAaLTKdTCaqqqlBXVwcAUtbU19eHCy+8ULaFsNlsUolORaN7w2IDKhuzlzqdTsrHVGYfx2qxWAR2UxU5P2vIH/ae5h6HTFD5/X5YrVa51ulWq0KVGaPQKubLpXR0dBSlpaXCRR4eHkZ/fz+ASZwVmMSvVe4DOQ9UXmbc6L6onAkW3qpKDEyQfogqqH3y7HY7Ojo6MDY2BrfbjfPOOw+JRAJOpxNPPfUU9u3bB4/Hg8rKSklmkEBFxaFfriozfWRaW3WVUdPwvF8qOmS1WoXvrcKDnISxWAwNDQ04fPgwIpFITkJqJsmMUmgV7chmsxgcHERxcTGsVqswzVwul0BufCjRaFSsIf1ecpPZn5lKrGLOdEfmzJmD5uZm9Pb2oq+vTwoIuFTzO4FAQCqoDx8+jNraWtTV1QkBasuWLaJ87NrP6+KKQjeAqAs5zcXFxYI3q8kYKqXaGF318zkx87sikeoKTLhy0WgUq1atwq5du+R7dGXUSUYpVIs9oxSaD5/LKZsQlpSUYHR0VB5SJpNBSUmJsPGGhoak6ppBFGmk9B3VpVW14kajEYsWLcKyZctw4sQJ6fVBroS6QywJUclkEl6vV7r7Z7NZdHZ2IhgMYs2aNVi8eDHcbjf6+/sRiUQwODgoiscVggFrWVkZGhsbUVNTg/b2dmlRwKJX1SLTyqtICBWPLoraJJL9Ohg0er1edHV1iUulJlIoOgVJ0aHwuNIzQqFVQpFKro9Gozhy5AjKy8sRCATQ1NSEYDCIoqIiOJ1ORCIRDAwMiNVTMVyLxSId8LmXYSQSke0c+ONyudDc3Ayv1wubzSY9qHt6erBv3z5JGbNKxWQyCX+CaAI7JoXDYVRWVsLpdOLgwYMYGBiApmni63OM9O/ZInjevHmSROns7EQoFMrJ/AHIQVyIhND/JsrDzzC7yr1b2tvbhRDV2dkp7DwV0ZCJ88mowGnLjFBoNWmh4rPZbBYHDhzA8uXL0d3dLQ1kqPCRSCQHd2U1uNVqxeLFi6FpWo6CqP01AAhi4XA4oNfr4fP5UFZWhhUrVqC2tlYaxwSDQSmwpaJxJdC0ie5F5ItwEnG3Kvq95Foww+j1elFbWyt+djY7sWf3vn370NvbK6gI7wevkQFefuaSxcEqZyUWi6GsrAyVlZWoqKhAOp3G0NBQjmtCDHumSMEqtKq4agKDwQ5di6NHj+Liiy8WP5UWVq/XIxwOw263IxAIyPKs109UgO/fv19KqGiNI5FITmdTQnZsl1BZWSlbUYyMjAiUp0KJarDGlSGRSCAUCgEAjh07JkWppHPyO0y7A5NbI6fTaSkvC4VCMJvNsNvt4mOrKW51BeP94qRiJtVoNMLn88Hv98NutyMWi+HQoUOwWCwYGRnJKdHivefxp/jNBehHF6RCTxeEAJORu8os6+7uFpTB7/fnWG81AaHX66Uvhc1mEwVWOcnqEquy94AJBaurq0M8HkdXVxc6Oztl1ymei1aZ3GMV92bH0Hnz5sHr9eLYsWMCPxKhUBUxGo3KhkR1dXXSE5rHU31hjp3uCvnWdB04MVVMnX5yOp3G2NgYli1bht7eXokf8jOF/F81MoXIwCtIhQaQO/unAfQ1TZPdo5LJJKqrqzEwMCC7xpI5p/IwXC6XWDZyndVkDTDZHoDWTiU2BYNBvP/++zh48CCOHDmCaDQKh8ORE5yl02nJTqbTaYyOjkpD9traWqxevRqtra2CjgDIUWr2veNyf/ToUWiaJpAgm5qHw2EUFRXBYrFIVo97LkYiETkekR52/I/H47Db7aisrJQOpslkEvPnz8czzzwzZUyTj2OWD33GRV2O6RMnEgkcOXIENTU12L17t/iCXGbVllhUlEQigdLSUoHqSC9V08FqIKTT6TAwMIBt27Zh//79MgHYXF3lYPDzwCS5ft68eZgzZw7mzp2LsrKyHCKQygOhlabbE4lE5PpMJhPWrFkDr9eLvXv3wuVyCUOO52MlO++Rigjp9XoUFRWJi8KmOPSrXS4Xuru7Zfw8NnS5lNFClxml0BTSHtnToq2tDbfccgu2bt0Kg8GASCQilMnS0lI0NTWhuLgYkUgEra2tOHjwILLZiW0jVJ4xA0LVJ9bpdGhvb8fQ0BA6OjpgNptl00yDwZCTJlaZeMSLo9Eo5syZg6VLl8LpdMr2EGqyRGURktLKich0dltbGyKRCIaHh2G326VSR11F1OIAlanHPV8AIBaLCRJTVVWFjo4OFBcXIxgMoqenZwoxCppWkL7yyWTGKLSKQ9NnZLKA8JnD4UA4HM5JCycSCQATwdgHH3wgiAG5zwyCaB3pkgCTdMx33nkH6XQaHo8HPp9PlnD6zVQetaCUS/7o6Cj27duHvr4+aasbCoUkxZ2PJqjYcSaTgdvtlsblfX19OW0Z1IBS5UUbDBM7zDLZUlZWJg3WR0ZGclqS7d+/H1/60pcwNjaGkZGRnOqYfJkOly40mTEKPQXg101WepBKunjxYnR0dKChoUEUM5vN4uDBg9Ijmu4BC2rVHh1qAEgrR14IJwC5HrTQRDnU7wETXZKsVqtMgq1btyKVSmHZsmWCUthsNtn+jV1B1UCPmUJafo6ZE5KfYamW2+3OSaxQsYlHk1/CSRwIBBCJRNDS0oJnn31WAtf8OkJ1XOJ+YDaxcsaF1imZTKKvrw+bN2/Ga6+9hsrKSni9XiQSCcTjcQwODuZUazPBQovPAIhRP5l5AAS1MJlMGBoaEt9XRQqY3KDfzYmQSCREaTkZ2DuPqwCLZulvqxxnLv/pdDoHP1Yb1Oh0Otjtdng8Hlit1pzVgvWMwMQE8/l8sqrx3tTX18Nut6Onp0cmCo1FPt96JsiMVWiVeWexWHDo0CHcdNNN4hczScHkB1+zL0UsFpOqabV8iylyQm58+AzWDAaD7P/HZIyK+VJIVuI5i4uLJcWt+tqqRVQbn1N4DSqpSG0IyT0Qy8vL5Xv8n24HWx6Mj48LD8XlcqGzsxOXXXaZpN/zMXGKuhoWuhSuQp9iKVMTCpFIRAK3Sy65BAcOHJCsmRqssQCWhQDkcdDtUDseqdabrbWI/zJoUzfXZDodgODBtM4qHdTj8Qi6YrPZMGfOHMTjcQwNDYnCqkQjTk5u/MOOotlsVjYpYhEu0+PM9KlJH6bJicOTkHXeeedh586daGtrE2usNrKhxZ/iWhRosFiQCp0P4Of/TaVSslJjdHQUu3btwsUXX4y33noLjY2NkhlkAxUmFljNQh4FYTI1wqfbQKVmORf/JyZcUVEh7Q5YNQ1MwmLRaFT2dQEgPUPo31LZioqK5HvM6JFMBCDHV+bYAAi5KBKJSAqfE5lp9fHxcUQiEblmj8eDnTt3YsmSJYjH43jjjTekuY7KzqNlVhvpTPcsCkkKUqGnlbxqYyogG6tEIhG89tpr2LhxI5YtW4auri60tLQAgCAYbrdbHhqzYkxksDE4/VNaSIpKKx0fH0coFEI2m4Xb7UZVVRVCoRDGxsYwNDQkroDa2mvOnDkoLy8XIj4t6vDwMILBoLS7Jbym1j3SDSEao3I30uk0QqGQlGkxpqBfz11rOVmbm5ul+vyyyy7De++9hwMHDojbRCs+E9yL6WTmKHSe5PusOp0Ohw8fxptvvonPfOYz+MlPfiLohNPphMvlQjwel/2+yTnm3iosfeJyrbYSYIBH10FVqL6+vpyWY7SQLAerqakRzvbQ0BCi0agoTTgcFoXljgIOh0OwdLo+nJAkQHESswZQ3YOQP5wYxNudTifmzp0Lv9+P3/3ud7jxxhths9nQ2toqAaG6Ms5UmTnTMO8+U6FU/kU0GsW2bdsAAGvWrMHu3bvhdDqRzWbh9/sxOjoqlSOJRCKncz7rCWmpGQjSTwYgisLypGAwKNUmtGosIuB42KIsm81Kt9NUKiVEKL5H68/sII/JYIyKz/Fy8pSXl6O2tlZQEgajAIRiq/I8XnnlFeh0Oixbtgytra3YsmULIpEIgMmNmICZUT84ncwchf6zcAmn9WIgx4e+Z88ebN++HStXrkQmk0FfX5/wHAh/0S+lZWMA5PF4UFRUJNBWJBIRfJhwFhWkuLhYLCl9TCIv7AeSyUz0mDt+/DgGBgYkcKSrwzq+8vJyFBUVidtA/5pV4QzgSMiKx+M5+4izv7PaZgFADsZusViwb98+vPnmm7jqqqugaRpeeOEFjI6OSvCXjzXzfqvJo3xREZlCkBmj0Bo05O9Yo8JeTHgkEgls27YNRqMR1113HXbs2IFQKCTp6vxl2ePxyNYVXq9XKJ18wEy+MMiixfb7/QKZVVRUoLGxUQoLKioqsGDBAjQ1NUlSIpVKwePx5FhABo48TmNjIxYsWICGhgZ4PJ6cIJUEJLXkihOG1prdSJmlVNvoxmIxbNu2DU1NTVi3bh06Ojpw5MiRnP7RXOnU5Al0OtmXEDodNOX9QpQZo9CqMIjj8kuYK51Ow2KxYM+ePXjppZdw4YUXYv78+di/f7+4AVRKBmXqTqtUEqPRiKKiImGzqUQitZEid+KqqKgAAOnMzy74K1euRElJiUw8r9cLYJJcBUygFOzbwZa45IAwva7GCyqLjvsO0hKTv6JysklK6unpQXd3N6677jrodDr8/ve/x4EDB6TqnGOcKay6k8mMVGhaS5U3Tf+PuPGWLVvQ0dGB22+/HYlEQkqxAEhvCrfbLcWuqVRKEAe6HyUlJSguLhbLC0Dq+Zhm5jmZmSNhaffu3Th48CAcDkdOwoM+bk1NDbxer1BDrVYrgsGg7NSltiqgYvKHlpfVMiMjIxLM0krTkgMTrtV7772H1atXY/369di3bx/efvttqZphEiUntT1DlbrgFPqkN/LPa50Okz40l0kGc8zcjY+P4/jx43jkkUeg0+nwuc99Dm1tbejs7BT/mQ+eSzNppKwIodXnpkPqRj3qypBOp6U41mKxoLm5GR6PR1r9Eu3IZrMYGhoS3Nlut0t3pdraWtngSNMmSrZUOquKKfMeqVg8s4ncUJQrSDabhcvlwttvv414PI7rr78e0WgUjz76KE6cOJHTF5v3Mscn1pR9CTVt6k8BSsHBdtOB9SrTTuU2q8rP4IWBIgC8//77+O///m/cfPPN8Pl8ePrpp1FfX4+rr75aSo6AycwY09QqN4P+Lf1Q+pxqggSAoCelpaUoKSlBX18fAIhC6/V6IRfpdDqB7IxGI4qLi1FeXo7x8XFxO/Itper78z5wojA2UFsxGAwGuFwu9PT04NChQ7j66qtRVVWFxx57DO+//75YdN5XlbcxbbkVpk94zSZWzpBMp/T5v4fDYbz++utoamrC5s2bcejQIbS1tWH79u1Yvnw5QqGQtBngcs2kB7cXpvLYbDbZFk5FRphoIRJgs9ngdrsxNDQkGTuy2+bMmSPbEatYNKtruD0GITgSmAAImqN2PlU3B6K1dbvdSCaTcLlc8Pl82LNnD+rr63HRRRfh9ddfx//+7/9KEYCqwNNVBJ1KWQuRTjojFXq6G0nLrfJ5M5kMBgYG8Pjjj6O0tBR33HEHfvSjH+HNN99EKBTC6tWrJVmRnzAhxq12wa+urobf70d7e7tkCYkrM+Exf/58mM1mRCIRUYpUamKX2mg0Ki10iVlzQvT29gp3G4Acl9dLbopaq8gkDiFAKrbb7UZXVxd27dqFUCiEe+65B/v27cNjjz0mSSVOspPBcR/lWRSSFJwPfbqSvwSrHAy1KDUWi6G9vR2PPvoohoaG8I1vfAOVlZU4ePAg2tvbxaqS4EPFpBKr+HJlZSWqq6ulHxzZaWTC1dbWCpeDu7eS2llXVyfj0TQNIyMj6OnpQSwWk4CTGxepbDe6PcSs2TmVLcf4moy+TCaD9957D1u3bkUgEMB3vvMdAMAzzzyDjo4OWV0YWP4lKe5CU2Zghii0apGnWx6B3FZhpIPy/2QyiZ07d+Khhx6C2WzGt7/9bbjdbuzYsQMdHR2SRSPaQIVWLZ/arIUdh2KxmASGBoMBPp8Pb7zxBvbt24eRkREEAgFRYPrdBoNBkBIqIRWTwSKvl5h2VVUVioqKpOSKxCiy+TweD6qqqgRrfu+99xCLxfClL30JjY2N+Nd//Vd88MEHORxn3sOPQjDiuFQYs9DQEJ1WYCNyuVw5lR+TIP/Jh6lDrpWm8MGR9ulwOLBx40bceOON6OnpwUMPPYRUKoXzzz8fy5Yty5kM7DvHglbi1Ol0WjbrYcNy9nJmYanKhrPb7eJeZLNZKRNTCf02m01w53g8jmg0CovFInuW8zqokAxgichwX8aXX34Zra2tsNlsuPLKK3H99dfjqaeewpYtW+D3+3M2AhLr/GfS13Rk/ulgPLpyhA+z2YkWaIUiZ41C87NUatVVUFELu92O5cuX46677sLu3bvx6KOPwu12Y+HChVi0aJHsWJVOp+Hz+QTWSiaTiMfjophUCG5SpGkTbcPY/IV9namsVLzi4mJ88MEHgkqwQCEcDgu3xGg0oqKiAmVlZeIzM9UfDAZlC7eioiIYDAYcOXIEr732muxasHz5cnz3u9/Ff/zHf+Dll1/O2b+RIinyv0ChCfcFg8EzqAF/mczIoDBfNGjQYap1BiY3lqSlTqfT2LlzJx588EF85zvfgcfjwRNPPIHt27fDaDTiq1/9KqqqqqRdARWULgH7z5FXQbcjGAxi8eLFCIVCGBgYkM+QrKTuA0hOMume5HawnwbZecFgEPF4HB6PJ2enV1aehEIh7N+/Hzt27JAA9uqrr8amTZuwZcsWvPzyy3LtzI6y/e8Zue+FZQsBFKCFdjqdOZH3h2WuTlYEoFpq8hzUDqO0VCtWrMBtt92GcDiMF198Ea2trSgrK8OnP/1pNDc3C/ONCRgmY9jWC4BwqAcGBrB06VK43W7ZtFOtKPH5fDh27Bg2bdok3fzZJiwYDMLn8yEUCsFiscDr9Qp8SJeG42f3JL/fj3fffRf79u0DAFRWVuLzn/88Wlpa8MILL+D555+XrCeJTSwjo+uh3rf8+5uPM6t/zy/mLSQLXXAKzT1STiUfVtWS/zn14agKbjKZ0NzcjHvuuQeVlZV47LHH8M4770Cn02HOnDlYt24dmpqaJBVNpaKvC0BchEAgIBUsdrtdfGESoF5//XXs3LkT3//+91FcXCwcj76+PvT09AgfWtM01NTUyMQOh8Nwu91ioVlutn37dnzwwQfQ6/VoaGjAPffcA03T8OSTT+K9995Df3+/dOlX936hG8Z7Q1EVXN6f7r5Og1fPKvSHiCj0h0XemjatQuf42X/+Ve05NyW1iwlCUXl5OW655RZccMEF2Lp1K5599ln4fD643W40NTXh/PPPR0NDQw7FktaUBafxeBzt7e0oKipCXV2d+Nm0hv/yL/+C3t5efOUrX8FNN92EbDYLn8+Ho0ePymeBCWITkzNMeTudTmQyGbzzzjt46623MDY2Jsq/adMmXHfddejq6sLPfvYztLe3S6GCpmlCQc3POArigQk3+rQVeprnMKvQHyJnUqEZEFKhiU0Dk0ER091OpxMbNmzAtddei3Q6jT/84Q/YtWsX+vv7YbVasWzZMmzYsAHFxcXSuYkWm7tt+Xw+KcD1er2SQXz88cfx9ttvIxQKYdGiRbj//vslKGSVOWFBohcsZPX7/WhtbcX27dtFUdPpNJqbm/HFL34RCxYswHPPPYc//OEP0oiGKW11F4LpXIhZhf4byEdR6IlftWl9wXwmHi0Ss3RqNbNKYi8tLcXll1+O9evXQ9M0cRV8Ph9WrFgBp9MpfZtLS0thNptFyVntQpJ+a2sr/H4//vM//1NcALPZjK985Su47LLLBHNmRYu6JUZ3dzcOHjyItrY29PX1CURWX1+Pz3zmMzj33HPh8/nw/PPP491330UwGMxpPaBOXHXy569QavD8cRSanaAKRQpOoV0u14SynUKhp3/7w/3q6S6Vis1qbiITjY2NuP7667F27VoMDAzgj3/8Iw4dOoSRkREYDAaUlZWhoqIC9fX1qK+vBzDRjYlWOpFI4NixY3A6nejt7ZVu/aWlpXA6nbjwwguxYMEClJSUyL4wgUAAg4ODGBwcxOHDh9He3i696BobG7Fq1SqsX78eyWQSL730Et544w3pTkohv0StXCFxPz+emI4AlXOfTkOh1QaRhSAzU6Gnk1O4IWryJfdrU6E+Ys0WiwXz5s3D2rVrsXnzZjidTvzpT3/C7t27sXfvXgBASUkJysrK4HQ6pRSKx2DFNa9rcHAQfr9fCl4DgQB0Ol1OGp3bFKfTaZSXl2PVqlVYuXIlamtr0dfXh5deegk7duxAT09PzlLPlUhVXPrO+dlVlS6Qcw8+xj2fVehTyF9boVXhAycHhMs+uwyxw6nFYsHcuXOxZs0aXHDBBbJ7bSQSQU9PD9rb24WHzKYzZWVl0Ov16OvrQ0lJCdxutzSHpF+eSqXg9/uRzWZRWlqKiooKVFdXo76+Hg0NDXC73QCADz74AH/4wx+wZ88e9Pf3C6c7Ho9LdbeaTDpZxlS97lmF/hvJaSv0SXDpKT61otB//kVEp7ygMrAEiz4lgz9mG8vKylBfX4/Vq1dj+fLl0h2U/jCrx1nBkkgk4PF45BxqezJOJE2bLJfKZDIYGxtDa2srDh06hM7OTgwMDMDn88lYWD/JjUOB3P0bgZP7yhzHrEL/jeR0g8KJ/3IfUu5Hcj9zOgQclS9hNpvl/Xy/lOgJx+p2u+H1elFeXi7uBxlyTDmrbQYACOqSSqUwNjaG/v5+jI2NyV6HbKVA+E2F2jhWlZeh/o2fVa97VqE/Ifm4sN10sNQpob08ocXObwtGJSYaws5E6qShAhEm5PnU4lb6ubTK/FEtrlpFwuoWVoariSFaZCp1vp/8YdedH0/MKvSszEqByozgQ8/KrJyuzCr0rJxVMqvQs3JWyaxCz8pZJbMKPStnlcwq9KycVTKr0LNyVsmsQs/KWSWzCj0rZ5X8f4rL1CCkql/4AAAAAElFTkSuQmCC\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"visualize_model(model_ft)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "IMlakxzzW2lE"
},
"source": [
"## ConvNet as fixed feature extractor\n",
"\n",
"Here, we need to freeze all the network except the final layer. We need\n",
"to set ``requires_grad = False`` to freeze the parameters so that the\n",
"gradients are not computed in ``backward()``.\n",
"\n",
"You can read more about this in the documentation\n",
"[here](https://pytorch.org/docs/notes/autograd.html#excluding-subgraphs-from-backward)_.\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"id": "PcSyPZ_7W2lE"
},
"outputs": [],
"source": [
"model_conv = torchvision.models.resnet18(weights='IMAGENET1K_V1')\n",
"for param in model_conv.parameters():\n",
" param.requires_grad = False\n",
"\n",
"# Parameters of newly constructed modules have requires_grad=True by default\n",
"num_ftrs = model_conv.fc.in_features\n",
"model_conv.fc = nn.Linear(num_ftrs, 4)\n",
"\n",
"model_conv = model_conv.to(device)\n",
"\n",
"criterion = nn.CrossEntropyLoss()\n",
"\n",
"# Observe that only parameters of final layer are being optimized as\n",
"# opposed to before.\n",
"optimizer_conv = optim.SGD(model_conv.fc.parameters(), lr=0.001, momentum=0.93)\n",
"\n",
"# Decay LR by a factor of 0.1 every 7 epochs\n",
"exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ufSETcSxW2lE"
},
"source": [
"### Train and evaluate\n",
"\n",
"On CPU this will take about half the time compared to previous scenario.\n",
"This is expected as gradients don't need to be computed for most of the\n",
"network. However, forward does need to be computed.\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "v7mm_hpfW2lF",
"outputId": "09f1f804-44e8-45fe-9715-acc3f443da73"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Epoch 0/29\n",
"----------\n",
"train Loss: 1.1215 Acc: 0.5061\n",
"val Loss: 1.2275 Acc: 0.5205\n",
"\n",
"Epoch 1/29\n",
"----------\n",
"train Loss: 0.8812 Acc: 0.6329\n",
"val Loss: 0.9010 Acc: 0.6553\n",
"\n",
"Epoch 2/29\n",
"----------\n",
"train Loss: 0.7563 Acc: 0.7039\n",
"val Loss: 0.5229 Acc: 0.8003\n",
"\n",
"Epoch 3/29\n",
"----------\n",
"train Loss: 0.7469 Acc: 0.7079\n",
"val Loss: 0.7864 Acc: 0.7099\n",
"\n",
"Epoch 4/29\n",
"----------\n",
"train Loss: 0.8577 Acc: 0.7018\n",
"val Loss: 0.5768 Acc: 0.7850\n",
"\n",
"Epoch 5/29\n",
"----------\n",
"train Loss: 0.6954 Acc: 0.7353\n",
"val Loss: 0.6529 Acc: 0.7560\n",
"\n",
"Epoch 6/29\n",
"----------\n",
"train Loss: 0.7829 Acc: 0.7079\n",
"val Loss: 0.5273 Acc: 0.7918\n",
"\n",
"Epoch 7/29\n",
"----------\n",
"train Loss: 0.6263 Acc: 0.7566\n",
"val Loss: 0.4987 Acc: 0.8038\n",
"\n",
"Epoch 8/29\n",
"----------\n",
"train Loss: 0.6412 Acc: 0.7485\n",
"val Loss: 0.4961 Acc: 0.8106\n",
"\n",
"Epoch 9/29\n",
"----------\n",
"train Loss: 0.5783 Acc: 0.7769\n",
"val Loss: 0.5614 Acc: 0.7952\n",
"\n",
"Epoch 10/29\n",
"----------\n",
"train Loss: 0.5947 Acc: 0.7738\n",
"val Loss: 0.4650 Acc: 0.8259\n",
"\n",
"Epoch 11/29\n",
"----------\n",
"train Loss: 0.5918 Acc: 0.7738\n",
"val Loss: 0.5295 Acc: 0.8055\n",
"\n",
"Epoch 12/29\n",
"----------\n",
"train Loss: 0.5721 Acc: 0.7809\n",
"val Loss: 0.5350 Acc: 0.8140\n",
"\n",
"Epoch 13/29\n",
"----------\n",
"train Loss: 0.6488 Acc: 0.7465\n",
"val Loss: 0.4811 Acc: 0.8276\n",
"\n",
"Epoch 14/29\n",
"----------\n",
"train Loss: 0.5635 Acc: 0.7840\n",
"val Loss: 0.4724 Acc: 0.8174\n",
"\n",
"Epoch 15/29\n",
"----------\n",
"train Loss: 0.5384 Acc: 0.7890\n",
"val Loss: 0.4643 Acc: 0.8174\n",
"\n",
"Epoch 16/29\n",
"----------\n",
"train Loss: 0.5662 Acc: 0.7738\n",
"val Loss: 0.4784 Acc: 0.8259\n",
"\n",
"Epoch 17/29\n",
"----------\n",
"train Loss: 0.6187 Acc: 0.7596\n",
"val Loss: 0.4624 Acc: 0.8140\n",
"\n",
"Epoch 18/29\n",
"----------\n",
"train Loss: 0.6311 Acc: 0.7525\n",
"val Loss: 0.4978 Acc: 0.7969\n",
"\n",
"Epoch 19/29\n",
"----------\n",
"train Loss: 0.5744 Acc: 0.7850\n",
"val Loss: 0.4660 Acc: 0.8379\n",
"\n",
"Epoch 20/29\n",
"----------\n",
"train Loss: 0.5841 Acc: 0.7647\n",
"val Loss: 0.4812 Acc: 0.8276\n",
"\n",
"Epoch 21/29\n",
"----------\n",
"train Loss: 0.5544 Acc: 0.7819\n",
"val Loss: 0.4718 Acc: 0.8294\n",
"\n",
"Epoch 22/29\n",
"----------\n",
"train Loss: 0.5427 Acc: 0.7921\n",
"val Loss: 0.4937 Acc: 0.8157\n",
"\n",
"Epoch 23/29\n",
"----------\n",
"train Loss: 0.5743 Acc: 0.7819\n",
"val Loss: 0.5128 Acc: 0.8072\n",
"\n",
"Epoch 24/29\n",
"----------\n",
"train Loss: 0.5645 Acc: 0.7840\n",
"val Loss: 0.4838 Acc: 0.8294\n",
"\n",
"Epoch 25/29\n",
"----------\n",
"train Loss: 0.5882 Acc: 0.7748\n",
"val Loss: 0.4502 Acc: 0.8276\n",
"\n",
"Epoch 26/29\n",
"----------\n",
"train Loss: 0.6020 Acc: 0.7738\n",
"val Loss: 0.4417 Acc: 0.8430\n",
"\n",
"Epoch 27/29\n",
"----------\n",
"train Loss: 0.5673 Acc: 0.7880\n",
"val Loss: 0.5210 Acc: 0.8157\n",
"\n",
"Epoch 28/29\n",
"----------\n",
"train Loss: 0.5740 Acc: 0.7647\n",
"val Loss: 0.4460 Acc: 0.8379\n",
"\n",
"Epoch 29/29\n",
"----------\n",
"train Loss: 0.5538 Acc: 0.7901\n",
"val Loss: 0.5071 Acc: 0.8157\n",
"\n",
"Training complete in 5m 56s\n",
"Best val Acc: 0.843003\n"
]
}
],
"source": [
"model_conv = train_model(model_conv, criterion, optimizer_conv,\n",
" exp_lr_scheduler, num_epochs=30)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"id": "qPq7-3EfW2lF",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 923
},
"outputId": "3a05c5b3-94ba-4718-8dbc-9bd103aba78f"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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EMUulEiqVCur1uvxNo9FAu90WOMAOZZfLBbPZLJDAbDZD13VUKhU0Gg15rFwuI5fLoVQqoVarod1uo9FoQNM0uFwuOBwOmEwm1Ot1pNNpNJtNdHd3IxgMwuPxwG63C1Rxu91wOBw4e/Ys/uVf/gWTk5NoNBro6+tDJpPB4cOHUSgUYDKZsGHDBrzrXe9Cd3c3zGbzRRH6pQKL6shGdGjDYWjglb8kXdc79L+6rsPtduMtb3kL3vSmN0HTNMTjcTzxxBNwuVw4ePAgMpkM5ubm5KbbbDb4fD643W7U63V4vV6YTCY4HA5omiaRt6urCzabTaJ3Pp8XR7TZbLBarTCZTLBYLKKhbjabsFqt8Pl86OrqkuuzWCziqKVSCT6fD06nE41GA8AyjuZrO51OaJoGp9MJm80Gu92OQqGATCaDRCIBn8+HQCAAp9OJdrsNXdfhcrkQCoVQLpdRq9Vw9uxZPPvsswgGg7BYLGg0GnA6nZiamsLY2Bg2b94Mj8eDvXv34gc/+AFisZiI+rlQL8cShSEd+uWMXzKTQUbp4eFh3HHHHQgEAmg0Gjh69Cii0Siuvvpq1Go1PPXUUzh79iwcDgfS6TR6e3vh9/sRDAbFyRuNBrq6uuByuWAymeB0OsXpNU1Dq9VCpVJBtVoVnGuxWASaeDwegRVWqxVmsxmpVAqapkkrUb1eh9Vqhc1mEwe32WzweDzI5XKo1Wqo1WqwWq2w2+0AlluU2u02isUiSqUSTCYT/H4/HA4H2u02CoUCqtUqQqEQAoEA8vk8YrEY7HY7crkcfv7zn6PVaiEcDmP9+vXo6urCiy++iOHhYdjtdgwNDWH//v2YnJxEsVjs+J4JQS4nvzYg5Hh5oyNz6261WrDb7bj++uuxZcsWWCwWpFIpTE5OIhgMwu1245lnnsFzzz0HTdPQ19eHrq4uZLNZzMzMYGFhQTJ84tlWqyWMid1uR1dXF+r1OprNpkQwJmftdhuVSgWFQgH5fB75fB6VSkWeqz6PTkqHZhS0WCwSwZlY0qk9Ho8kquVyGe12G263W2BIrVZDqVSC0+kU7TN3ATq+xWJBrVZDMpnEuXPnYDKZsLi4iIWFBTSbTXi9Xtx8880YGBjowNIqnr6c7LKL0HTqdrsNs9mMwcFB7N+/H6FQCJVKBadOnUI6nUapVMKhQ4dQKBQQi8UQiUSwadMmiXjEsV1dXYJRG40Gms1mB9tBbFypVAQLW61WSfAajQby+Tzi8TgymQy6urqEdqtWq4KTGbk1TZP3obMTtpAJcTqdslPU63VUq1X5vFxkNpsNxWIRzWYTgUAAbrcbhUIBpVIJFosFmzZtgsfjQbPZxIULFxCLxTA5OYnx8XFomobjx4+jt7cXwHLT80033YTFxUUUCoWO3GR5F7wYTxs1al9WDq0mLBz9tWvXLrzhDW+A2WxGLBbD8ePHJUqn02nBo4yO7DHM5XLI5XLI5/MIBoPw+/3weDzw+/2o1+sAgFqthmazKQlhu90Wzrqrq0sSwFQqhdnZWZRKJQSDQXF4Jq9cGCo2NZvN8Hg8wj17PB7k83m0223U63X5fEyEyY9bLBZZHMByyxVhTbPZRKFQgNlsxsjICNxutyzcYrGIcrmMUqkEh8OB06dP49prr4XL5ZIJSP/5n/+JYrHY8T3z/+nkK47+B77Zv6ddVg7NL7PZbMJut8PpdOLNb34zBgYGUKvVcOHCBUSjUZRKJWSzWXi9XoyPjwuvywIFnY4RtlAoIBgMwm63w+FwdBQWVF6ZfDQ7kiuVCjKZDDKZDDRNEy6ZySB3EjIpZES4OBqNBkKhEBwOBzweD9xuN3K5nMAOs9kMh8Mh7EWpVEK5XBaMzjkYKoVJ6q6/v19wdFdXFxqNBmZmZjA9PY3x8XFUKhUcP34c+/fvh8ViwbZt23DVVVdhbm4OlUoFwEontxqdjc5TX1YOTcci3nzzm9+MG264AVarFYuLizh58iQ0TcPi4iIcDgeuvvpqDA8Pw+FwIJPJSGGDCWGr1UI6nRYIQGfjDSReb7fbkjD6fD5YrVa0Wi3k83lkMhk0m034/f4OfE/83Gw2UavV0NXVJYlsvV4XRyO2djqdsNvtkvwB6Khe0onr9TrK5bJEcTIljUYDXq8X69atk4jfaDSkuONyuVAsFrG0tIRarQa/34/Z2VnE43GsX78e3d3duPnmm/Hb3/5WGI/Lke24rJJCmq7r8Hg8uPnmmzEyMoJGo4GJiQmpoOVyOWzatAmjo6Nwu93w+XwYGBiQxKnVakmE4w9xcrVaha7rsNvtsNvt8jyHwwGXyyWPtVotwdmk6cg7EyaoOLvRaHTMumi1WuJw7XYbdrsdfr8f4XAYfr8fbrcbJpNJmI9WqwW32w232w0AqFarsNls0gpXLBZhsVgwNDSEwcFBAEA+n5eEVoVAhGDVahUnTpyQ19q1axd27dolhaKXq8yu/jGSGS5Cv9KOxoSw1WphdHQUV199NWw2Gy5cuICjR49C13UkEgmYTCZEIhFYrVaEQiH4/X4AkCjn9XqFirNYLHC5XGg2m1I0cTgckvzpui7MBKm6FTprpWrJMjohBgBJNMk68L90LvUzWSwWgT1+vx+VSkUckouHUb9UKiGTyQhDYjKZ0Gw2Ua/XO+BQqVSSnYewhjsAF9/09DSi0SjWr1+PwcFB7Nu3D8888wyq1arALhU/v9xgGqPYZeXQ/FJtNhu2bt2KkZER1Ot1TExMSDJTKpUkqSN/q2ka3G43hoeHpVCSz+ehaRocDoc4BZ2N+JpOTQwLQFgQu92OQCAg72e32wVfNhoN1Go12Gw2aJqGdrst/2UxhgURwhS+rtvthtPpFBhTrVZRrVYRi8Vk92i328jlcmi1WlJgYbQnk8JorEZRk8mETCaDRqMBu92Oer2OVCqFQ4cOIRKJwO1247rrrsOWLVuQSqUuKoV33otLedcvnV12kEPXdYTDYezduxd+vx/RaBQzMzMSpVKplECBVquFWCyGqakpTE5OIhqNSsmayRMxcVdXl+BYRu9isYhYLIbFxUWJlgDE8QOBgIiCGo2GYGdGcy6OZrMpTs1EkzScy+Xq0Hjw96qKkAUeAAJBiIfj8Tiy2axEYpbryU27XC5YrVYRYPEayuUy8vk8Wq0WFhYWcO7cOVQqFYyOjuJNb3qTvB8TXPX61yL0JTJuz8PDw7jmmmvQaDTwwgsvoFAowOFwIJlMIp/Po9lsIplMwmw2i27B5/MJXcZIyKIJndHpdMLhcKBYLIq8k8WPSqWCcDiMSCQi0ILl5kKhgHK5LEyIxWIROGOz2YSyo0MwySSVyMXH1y2Xy1haWhIH5ekHjJiM4iyuFItF1Ot12SG4EzidTimsEBYRu/N5TPyeffZZmEwmbNmyBbt27UJPT89FFN7lYJeVQwPL/PPu3bvR29uLc+fO4ezZs8IEVCoViW65XE6gA29mtVpFLpeD3++Hy+WC2+1GrVZDJpMRbElnAiBFDCaCVLKRymM1rre3F8lkUoogdExCChWP0ylZCbTb7fIYIdLS0hKi0ajgbu4qTA59Ph96enpEt0KIw/cm7uc1kN5TVX5OpxO6rqNQKEiFcnp6Gn19fRgeHsa2bds6KqmruWmjBmnDObT6Ra1W1JlMJrjdblx77bXQdR1HjhxBPp+H3W4XZ9R1HcFgED09PRgeHobFYkE+nxc822w2US6XUSgUAEC23nw+j1wuBwCiPWYyaLfb4fF4xAmoyWD09ng8orMgHqbzMlKvLrJYLJYO3psQJ5VKCRXI16Dj5fN5+XwsgVssFhQKBaERWaGk8/P9Wq0W6vW6LC46fKlUkt2I/H04HMYNN9yAY8eOYWZmRhbvWlL4PzRiXRW3jY6OYmxsDJlMBslkUiIgcanVahV6y+FwwGazdTieikXr9Tqy2SwKhYKIfBh1vV4v/H6/iIR4Ixkt1ShNBoF0XqvVQrlcRrlcFnzcbDbh8XgkOaTks16vi7MTAnBnYFlddVCfzycVRo/HA6/XK8UdAPLejKwsv7NYQwiUzWbhcDjgcDhQKBREh53P5+H1erFr1y5s2LABi4uLcn4OP5+RndpwDs3vyWTqpIra7bYUSyKRCF544QVphzKZTCK4dzqdohMGIDeDBRmv1ytJEbGk1WqF3+8XjM0FQeE8u0d4Mxmd6/W68NhOp7PDmahtJgXocrnEEdvtNgKBgCw2Vc/hcrkk8lJX3Wq14HA40NfXJ5VOluBNJhMCgQAcDgfK5TKq1SrS6TRyuZxE52KxiHw+L7lGoVAQlsRut8uOVSgUMDs7C5fLhbGxMVxzzTU4duyY4Pe1CP0/MGI/bocmkwnhcBg7d+5EV1cXFhcX0Wq1hKoih0yHpPNQMF+r1TqE+YyCTqdTxO2tVks6U1R4wOjP6KuWhHmNDodDqoJ0UuJ37jTUOHMnIS/O37EzhtSkw+GA1WrFwMCA4GzCn1arJYuGhRMmpKQVqQ1ZWlpCNpsVPpuVSHbE8LMuLS1B13Xkcjn09PRgy5Yt6OvrkxHAag5gVDO0Q1N4Q5w5NjaGnTt3IhqNIhaLCf/L6MHOElUcb7VakclkRM9MMRJZAnakMJEjT02YQNkmK3/Eu+R7uRDIaLD4oR6nQIehyB6AODKNzm+1WgX+UHXHz8SKZrFYFLERk0GyLtRvM18gNs/lcgKNNE1DOp1GKBSS3YAFG5fLhUKhgGazie3bt2N0dBRnzpyRe8F7Y1QzoEOzl03rcFKLxYIbbrgB/f39cgANoyxvKOk1JodkNwCIQwArohuLxSLUV7VaRaPRQC6XE5aATslFQ8pPjdrqYqISTk0A+TsAHZHY6XQKd85rBSBRlgImLhYAHc5ZKBSwtLSEcrksPDebBRwOh3wet9strWbFYhHd3d3QdV2SaTY3UKlns9kwNTUlLVqbNm3Cr3/96w62Y/l6//tuGcy5DejQy6ZW09rtNoLBIK666iq0223MzMyI5lh9jqZpEoVLpZI4pd1uFy5W1RirYnwWJIiVvV4vfD4fgsGgOL0KNSjzpBPToZik8boIcVSxP3cPRnt+Xjq10+kUaAJAoFMmk0EulxNqMZfLSe5A2MOdyGw2dxyGGgqF0Gq1hJePRCLCwfO92GbW3d0thaetW7diYGBAdg2aUbG0IR2aWya/NJPJhNHRUQwNDcmcCpfLJcIbm83WIZonw0AmgVGaN1nXdekC4d+wuFGtVqUZttlswuFwSAJGoRExPSECFxJ3CRZO2L1NZRzhDfsWCU0Yifl7vg+/i1KphEQigVgshmKxKJGfEIelb/X6vV4v6vU6pqenUSgU4PP54Pf7USqVEI/HO5ijvr4+OJ1OKbOzehgOh7F161Zs2bIF09PTF3HsRjRDOjSwIvwBlh1x+/btCIfDOHLkiERUtioRWnBwC+WdAAQaUOQDLOsx8vk8yuWyOHypVEK1WhVNBdkLr9eLcDgsN5KO3NXVJSVyNscyqaNUk3oJLi5GZBWikDemsIi7CD9XrVaTBtlcLicOx4SOvYV0MOo8ZmZmUCwWZSGxJaxUKqFQKMDv9yMejyORSMBut4uSsFgs4ty5c5K77N27Fzt37sRvf/tbFAqFDnhkRKc2tEPT/H4/duzYgWq1ilQqBbfbLZQT8SFVcnRstVihFhbofGxfYpc1o67f7+/Az/V6HZVK5aLWKy4SYIV5IH4nzUh+nO/LSh2jt67r0pPIiFypVASeqBw8FxJlrhT6cyGpFUGn04lUKoXp6WnpV4xEInC5XLII2H1OZ2fzQbvdFvXd2bNncc0110gwmZmZ6WB21hz6dRoj76ZNm7B9+3bMz89LRFGlkhaLBdVqVQa2sDUqGAxK6bhQKCCVSknC6Ha7EQ6HpQKoDomh0Ic3m42o1EKQ/uMWzBYpOjp3ArvdjlQqJVw0y+fUItOheU3qpCViYjIdlJSyyEJc3Wg0pH2M0Z1Mx/z8PKLRKCKRiPyut7dXusXz+TzcbjfS6TTC4bCwKPyp1Wo4f/48Nm3ahI0bN+L48eOygIxK3xnOoVXNQKvVgs1mw44dOxAKhXDs2DEp0bII4vP50Gq1kMvlkEwmZbZFqVTC0tJShw6CzABLx16vV6IaK3OVSkUiIp2UkYhd3UwQyUSwCsgozmSLTuP3+yUnYGQulUrSvcLkUi3ft1otmakBAF6vt0Ms1W63RQqqMiwOh0PK8DabDb29vRgbG5MF4HQ6ZR6epmkol8u4cOECBgcHpbpK1WIoFMLi4iK2bduG9evXw+v1Cp9txOgMGNChl00HsBxRvF4vNm3aBF3XEY1GJYKy5AwsVwPn5+c7uNZ4PI5oNCol7GKxiEKhAI/Hg4GBAfh8Pil4qPQbTa3e0XmLxaI0nbIpgHLOWq0Gj8cjiRoAoQA5h4OcMru71SphV1cXcrmcJJCES41GQ6i4cDgsSSUTPc7FY4RPp9NSZHE4HOjv70c4HBa8T4qPSaymacjlcpiamsL4+LjAkng8Lhx+vV7H5s2b0dvbi0qlIj2HRhQpGc6hVX5T0zQZP1AoFBCPx4W79Xg8sFqtsi1SRMMuZk3T4PP5hK5KpVKoVCqIRCIIh8OCkfnc5fde/i+jOsvQKqVF3MwEjlQWO0YoYOJncDqdHaJ+RnQmgu12WxYXWRuVx1abZYmH2fbFpJjjxNQewkwmA4/HIyPPuKOVy2W0Wi3B2dwdpqamEAwGMTo6KslqOp1GsVjEwsIChoeHMTQ0hFgsJg5tRDOcQy/PsVtZ9r29vQiFQrhw4YJwuMSuxM1zc3MoFosIhUKiA+YRx+Rou7u74fF4ZAwuEylSbHQ63ni73Y5gMCiUIHEzTWVhiJs5n45JHaMsK47xeBw+n09wPlkZAELFEVcTvpCRoTKv2WyKzpnvR46YRZh0Oo3p6Wlp3GVCSkhChqZer4uGfP369chkMqKD8Xq9qFar6OvrQ7lcxtjYGMbHx3HkyJH/NU/4fcyADr0iUDKbzRgeHobf75eJm6TkuMUuLi4imUxKxKVOgoMNGdmIQVXtBCk9tcJH/TP1IMSZTBrZnVKpVIRaY3GGXDIXitlsxvz8PMxms0z5JMSgM1NLQc3Jak6csEDdCdQozvEMfD86PItBtVpNFIMs/qg6kmaziWg0KjtJLpeTz8DvaHp6Glu2bMG2bdtEDMbE12j6f0M6NM3v92Pz5s0SUWw2mzgpt9eFhQWJYC6XC93d3Wi324jH4wCAgYEB4VRZDiZdR+dmEsZSuM/nk0babDYrBRjSWoywZA5UB6DDAcssR6VSwdzcHAYHB6WSp2ozVAdmkYUVSTIoACTRI53HXcRut4vOgpCCVCZHN3C2hwqtCOf6+/sRi8UQj8fhdDqRy+VkeKXJZEIsFpOB7GNjY+jt7cXCwkJHldZIZrieQlUIFAqFsGnTpo6qHgDZNtPpNJLJpIhqtm/fjmAwiEQiIROCqKZjdZDjsqhS4zRSQhVm+kwEiWsJB9SCjSpKIvfMpIuPk8culUrS9U2HZAGFvDgZFmClb1FddADkGihG8vl8cr3qLqIKp8iMUCfCxJVNtj6fD7FYTFicfD4vmB8AwuEwTCYTBgYGsHnz5o7umzWHfhXjzbBarejr60Nvby8WFxcRi8Uk+gCQBlY+1tfXB7/fj0QiAV3X0dPTg+7uboli7HiOxWKSIALoWCQU8qj4XI1+3ClUJ1vt0HQCYmyVs13dxsTX4uut/n8WMICVIzfq9bqIqVTBFcvlpVIJCwsLiMViMJvNCIfDCAQC8Hq9kjCT2yYuV8cmcPdTCzvsvfR6vRgZGZHvk4vGSGasqwEEC3PgoN/vx4ULF7C4uIhisSjb9tLSEpaWluTGUhLZaDTQ09ODnp4eSZ6Iu1kUSSaTmJ2dxYULF5DJZKTIwYhWrValx1BN3BhdGT3pUKwgrmYyuK0TwqidNYQMAAQSkaN+uainwhUuEu5WHEs2NzeH+fl5KTyx4YEyUToiaUTmF8Dy+TDkr0mLNhoNxGIxRKNRAEB/f7+cTsBrN5IZDkPT8Ww2GzZu3AiTyYS5uTmhmsxmM4rFIpLJZMcoXPKjIyMjANAx940wwOPxdMhAuU0TVgArw2FIqanJETtWmNipCSahA9kGajrIFQeDQSneMB/w+Xzy2nxP0nXkjNURBxRiESNT5qoOjqQKjwwHP9PqMrw6KcrhcGBoaAiZTAYzMzPYuHGj0IX8jjiZdGBgAH19fdJgYTQzpEOzNN3f3y/6X7WLhAfgsDjh8/nkh1QdAHEWzquzWq3o7u4WdoKMhpo00bkYSdVRYQA68CwdmlGaTtBqtYQNIJThJFA+ZrPZhOPmIlG7ayjepzPyPdUdg1Gajk8OnF3rvDY6HvUnZG1Y1rfZbNi8eTOOHTuGhYUFuV4WWXw+n+D8/v5+9Pf3ywgxo5nhHJoOEwgE0N/f35FMsdLH5Id0GZ2ZE/mpQ2YljziWPXVkF9gYysdUWSjxqzrXmc5HJ2eLFJM3Oh0d12w2o6enR6I1r83lcgkXzmhPqMXoTtqNgxmtVqtEVIqbVN0Jr1tdlOoIBT5O4+egNLZcLsvgnsXFRYTDYUkeCevIdAwNDQmmX4Mcr8HMZrMUVCiWJ9XGBIVbeyAQwODgoDgMu6N51gkdpVKpoFgsdnStqIkY0HkKlJrwcNeg0xCbMnIygQNWoiIj/rp16+RvWYJW5al8X2Ju4luWtLPZrEwM5dgxdUA7xUqsVNJRV8tU6Xh8Xxac+B1R7mq325HNZpHJZBAKhaBpmpzDeObMGWzcuBHj4+NSKVV3DCOY4Rya+Jlyx3PnznVk3fwSiQXD4bAkgDabDeVyWXQKxJ+kzuiMpK/YQMDyL5MhtYuEUZWlcD6PoiFVB2IymWT8lsoZ09GIy5nY8u/V4+HI8pCF4SxrDmtkpzlpSKoCVbZBlb6q9B81ImRKgJWB6n6/X5po5+bmkEgkMDY2BpfLJYv79OnTuP7667F+/XqEQiFpFDCSGc6hdX15lG13dzccDgdSqZRs/SwXq13ObJEi5UbZJakttQOFEYjRanWTKp2DiaDK+VIopQrq6QxMNNVki840NTWFXC6HG2+8Udq+TCaT9BRyhjQjqoqpi8Ui3G63JJyEBhQwsRTPnUJtICDtyO+J3TDsu1Tn//E6/H6/lOjn5+flRAL+HZPSSCSCYDDYIfY3ihmOtgMgk0IZ/Zjs8MZSiMOZzeqIW5/Ph+7uboTDYTn+jGeQsD1LnTNBB2q1WuIs6uBF3mwWL4CVLhgVtvCmAyvTR3VdRyqVwpkzZ0Sf3dvbKwuD1U2WnbnzcFFTUsoubEIVRlu1gMLr4cJkzkBIQIETFws/O6dDMVH1er0yZowldRZS+B263W6MjIzIjmIkM5xDUyXX398vZW11Oj7hA8fhqlBETeJImRGKuFwuAMDS0pLwyxywQvxKR+TQFb4nz/wmHKETrIYn5JY5uJzwKJPJYGJiQuZeqAUUtXwOrAxCJzSp1+sd18z+SNXpyYlTmmoymeToZuYUPIGA3d2sgjJS8zvgOeYejwfRaFRyFZPJJNHb5XKht7dXIr+RzJAOHQqF0NPTg7Nnz+LMmTPyO4raqUZjwpJKpZDL5ZDJZJDNZjsGzqjneTcaDUl4mEwRSwLoONyHxijNuW/s61NPp1KHvKiJayqV6mhzIlfOZA1YSTj5XqzCMTKazWZZYGrfIncklW3hzkHKMxQKdWhWiON5fB0dntfEjhpWEqlj0TRNJlGdPHkSxWJRijVG61wxHIYGIDeN6q+FhQVJbjh6AICo1IhL6Rx0QtJzbNEql8tIJBIol8tyhISq5WByyPdnNGZSprZhUa/B56rSU13X5SB7NiFw5p7VunKAkaqdZtRWz3uh7pk/hFZql7s6rclisQhf39fXh2AwCJ/PJ/NGyuUy0um0UH+8buYCxOHss8zn8/L9Min9xS9+gUAgIEd8UARmFDOcQ1PS2Gw2sWHDBgwODkrJm1QVBw8ODg7KOSrEliyUEJNqmialWtXx1Kio4mDSWmQSVEZEPfdEpd/UZGx1Wdrn8wm2ZVLLIYmsGhIL8+9ZeSQEIPVHrTQhBncOdaIpS+zBYBChUEhOuGUxijoWfjZepyrAcrlcciot9R09PT1YWlqC0+mUkwXIYRvJjHU1WHZodqNQk0wMyBYj4ur169cjEol0ROLVh1aaTCbZxsPhMMrlsmytTPTITPCmMlrRmUnJsTKm7gB0Vi4eOiX7EYPBIAYGBmSxcEsnpcgIqdJ/qpSUh4OSUlMXIiM81XH8rC6XC8FgUMYCl0olmTvNgfDqkBnSkMwh+D0AkAZhOu7WrVuxadMmnDx5skM8ZRQznEMDkAoVe++Y/KXT6Q4+mVs4hTZ8HlkLTdNEPcd2JQr9AYhAnlGPDs5IxegJQJyN0ZvbNrBy9ouq9+CiUoeaU6JKTQoXAaM7oYz6/+x4UYdBMjqv/uFoB0oAOJ4hl8tJYsnPyTG+6vfDJJGy3FqtJm1nlBkwJ1HbxIxkhnNoCnFUeSZxI+cgOxwORCIRgSEcE8AbojqjWiFjpCaEIafMIg1fR+0qoRNzl1DhAZ0AWJG9qmVzFoSYjFGAxNK16owq3FArnqTxuAOxpM+kkotJ1Tx7vV6Z+8cxCTy6jTQnYQoXbLVaRT6fF2xOx+VQSPV8FqBzdJmRzJAOrW55Kk3FG+xyuRAOhwWHsqChDjgkQ0BHYxLEoysSiYTQeqpWA4BQgXxflfWgrgHovKmqaAlAh/KOjkoaj8neaofgNZARocaD1CGLG6pOW+1gYaJL7EzIospFuTjJzhBusZuduwurruzy4ffCxaOqDY1khnNobsGVSkXa8wGIEk09SIfQgV84t3wVCzNhJG9N7EwxPOEACyxM9LhLAJDoZzabZZgNYYPq0IQLXFy86SzH0xnUbm6+Pj8PeWgmqYQETGi501ASS4jBqMrzY3Rdl6LMaljAz8smXu5s6mgxFq84Io3RXHVoI0ZpQzo0Z2DwHOx2uy1ZOkfEer1eibhqxUzFn+rQF2796tR+RnA10eK/GUXVaqL62nQ6Jojq7/habBzQNE0wKKMcxwGrDIkKlZgbEFYxB2DkZfJGeSedjN8XcTOpN74uG3wZfYmlGem5cJkUU0JAsRewsjOtqe1eg7Ftn1suhemMFrquS8LDqMGbwIhHLEmHZDUMWOmwUDtZGBn5X/Umqdu2Kqon/OHN5TVyAQDoWDAc08vISgdkpFSpOFXnsbrdiRJXGrd9wgnyxxyKzsIRcwMWlKhzUXUejP5cTN3d3Ugmk/I+ajua+jmMZIZzaDogK2ys8LFUy4RK3e5ViST/hpizq6tLpiY5nU6EQiFks1mBA3RAte9PjbKMwDRuy3R+9RAhlaVgVOR8aiZz/AxqxFeTQQDyNwDEcdTrY2QnDufnpXOqB3EyqeQCYqmeu4Gq56ZSkL9jlw2LKmScuLCMViUEDOjQwMpRa0yGiDk5/pZRiz+q+k2ltPhvJpHpdBp2ux29vb1yiqpaFlYjqioE4muqI7bUk6lUsQ//zbkdTLyy2SwACIRQKUF1EdHpmFCqQiguLi5oRkdV0qpWGdWKJoAO3Qlnd/CIDMp2XS6XPM/tdsNsNstxcWR8qKnhjmQkM5xDU/pYKBTEgShkp0aDOJHZO7CSEKpjBtRig9vtlkXi8/k6eusYbbj1MnqqI7wYzXgD+ZhKualOTeqO23w6nUapVEJ3d7fABj6Hjq1SeLwmPkbsrTqomsiqPLjKmdPRVUhEHp8sCncG7mhq0gd0tn2pTs7Dh4xkhnNoYGUmMx1WbRIlS7GaPlIzcLX/jzdU0zQZa8CjHHhTqGwDIHCAVJ9qdG5GQD6PTs5/sz2KZ6FwIaqLjpoQNWqqUVp9LxUe8YffCReDOgiHBSnSe+pOspq/ZjGG1UAGFIqx8vm8sCjtdlsmqfL03bWk8FWMFULSXOz3U5kGVYvBIoN605kkMsIxCvp8Pkl66EwsG7PQQYdUM3i+Hm8qIzCAjkWk8ud0nkAggC1btqBWq8Hv98tARwBSblcXHhefSksCK72GfC8VIqkJKz8rdzVeI+Eai0c07jL8Dnk8HpWJxM9MrNUDiFYnqEYwwzk0owYHELJtXy0JU1/AE5xcLpdgTCZNpOiYuKkOQM0vaTHiYm656iLgVs/ox2uk46q8MxMwVflnMpkQDAZRLBZFjslzBxlNgZVeRLW4QthDuozvB0CwOelDOja7ZZh/8LOrZ7yoTbYMGKQ2qYvJ5/NIpVKyG3FH8vv9aDabSKfTkhgbyQzr0GoBg8kOsDI3g9syZ75R1aYWQ1SBDzunWTGz2+3wer3wer1SoFAjs4oneePoOCyXM2KrLAzhAIs5i4uLaLeXZ4JwnFk+nxeZp5qUqgUiYn8A4ogAZIwZ0Inj+bkJlQjLyH6oeF/NCfj98prV71dNSC0WC3w+H3p7e5FKpbCwsNCxyI1ihnNoYNkZyUKs3h5ZsCgUCnJuNx2NhQayC9Ql0HijGJ2IHVefLgt0wgy+r1pFZGGD0UudgceydzweRzabRXd3N9xut8CQbDaLrq4uSbCYqDFxU3XYKtWnJswU+1OUxcje1dUlGmhCG3VIpCoqUgs4agMAK4eqEKpWqyEUCiEQCODkyZMdE6eMZIZ0aADIZrOSdKgJGh2WLVJq8yxVejxjmzddlWuqPXvcXtWorIqMVJ6W0VjFyio9yP8SjmSzWWSzWVG8sXzM3KCrq0u6X7gTcedgJOXB8xz2aDKZOrpIKFFVjeV+KuiazaZAsNU6GQDCg9NpScdx4fP1W62WJIQzMzPIZDLSuGskM9bVYKUlqVAoYHFxEQMDA/KlqxiZcILRJJPJyBZaqVTkNCsVc9KB+T5kCLjtM9ljFKaYiJFMpfjUwoo66AVYGU1ALMt8gNG+2WzKXD4AIqinbkMtU2ezWdTrdWkuyGazAht0XYff75frVyk/5gRMfrkLqBpmlT/n51LVhrwWLgyv14tisYjZ2Vm5jjUM/RrMZDJ1tClx6+eWTIkkt2v1d+SaVW0DZZQsJQMrIn0Ve/KmAyuJn8qUsALIm0ipKnsIORKXJ24lk0nhoUnbeTweGelLXGoyLZ9cxT5FOhHPUqSmgsfZEeLw+rkwVV01Pw8XPBezCovUhalWR9WKJXcVs9ksBamZmRlks1nB4kYywzk08R1PrCKWVLdGZudq4YM3mTc1n8+j3W7LSVe8iXR03ixCERojGuk18sVqUqoKnoinWbTgAUZzc3OIx+MCN8hUuN1u5HI5icKpVEocnYJ+dTIUr69cLgszojq6mhiqjQtkZ4CVMre6IFUue7WGRe035KIwmZbnksRiMcRisQ7duZHMkA5NJoANmMTAKk4lFFCjk4qJmRCqnRbEiSz9qlsmo5Ia6enUjLLE1GQC1OocxU6MrslkEolEQpJFUmVcfE6nU/KAdrstRxfz83NRsWeQEIScciKRkIE6vH7ifn4vfD+V26b0lM7PRc0oze+L94CLhTkHT7Q1ojAJMKBDAyvd3JyaRE2zGo2AFefjtk+mQC0H04nVUjYjFLDC66oLo9lcnrRJXO7xeCTSspBjNpslivJ3uVwO0WgU09PTiMfjHdM5+Z5M/Dgbo6+vDyMjIzIVla1bjMSqmAmAVAA5QZTMi7rIgRVKj6d8sXvb5XJ1jO7lc7nTFItFqRSyZctsXh4VZrPZUKvVpOBiRDOkQ3Obi8ViqNfrcnIUsHLIDh2xXC4DWFGh8XdqcqOWe9W5bnxchRPkgIlhWRKnYCoejwvcIEdbqVRkLvPS0hIWFxfF+VXNBrltYHlbHx4exvj4ODwej/DkjPIc9xWJRGQXYBVP13UEg0EA6MC/qnpQXdRqNRBAh7RWLQzxs6vfARPJ3t5eYVxIqRoNbgAGduhWqyXnp3DOHWdaqAf2qI5FIZPajsXRVSoPqwpyuP2y4sjtnompyhIwOlMcz/NNNE2TQzKZtLpcLominMzv8XhgNpuRTqfR3d2NjRs3YmRkRHIENXI2m005Xo2nCbAK6Pf7pXLH70uVo6rJLhkKNRdh21Uul+so5uj6ygm3LOBwAhW76zmX24gJIWBAhyYObLVaiMfjcpQxt3kK5RnpzOaVzmUWUzRNEy6W2JnRWp2zwS2b263H45EIRYEPT7IimxAIBGQiER2VzsfTXhOJBJLJpDiIWtCgDFbX9Y65Gbqud8x/pmNyMVJIRaYmn8/L90U6UE1u1VyDSSwxMn9IJwIQ2MbIS8qROwtnm7DkrTI/RjLDOTRN13WZmtTf399x/gidlhN9eH4hk0Ly1AAkMWRLFhM8RmI24RKL0/kzmUzHvAvuAsSTpNmA5cZZt9uNwcFBOfyTSR3fizxyq7U801o9+IeLq1gsyvusTjbJNVOfUa/XJeKrbIMqY1W/L+5s3F2AFYWfKjMg1JiZmREhktPphNfrRblcRjKZlICyukhjBDOcQ6sa4EqlgsXFRRETAcs3rFAoiDotEAgAWEkQyVow6SKWVMVNwMqpUoyWjE58rVwuh0QigUwmg+HhYZntRp0Ep4eyiMIobbPZOs5DzGQyaLVaMn62WCzCZDIhn88jGo0KnCIUYMmZTs2DfcghM4FTBUfq9q9WLZkvsEmXn49/oxZW2CXEZFjXdQwODiIej6OnpweRSASpVEqYG6M5Ms1wDr1a15xMJmWrZ6cEz1zhjQaWFwKraoxKJpNJoAAdmyNjuSDoIKSz1IjNo4ftdjtGRkaktK6en8KStFrAISYnpHE6nejv7+9oVOAuw8XL4oeaENLJyIer6jm1TE96Ts0TVLkrk151B1s9trdYLGJ+fh6Tk5Oo1WrYv38/isUiEokERkZG4HK58Pzzz4uz06GNhqMN59DASlt/vV5HIpEQLbGqi2CJmjeY27laKHC5XPB4POju7pYRXJw3x79R6T06islkwtLSksCBxcVFpNNpbN68WWg3AOKg1E+ogxbL5TKKxaJg5f7+foE88/PzcLlc8Pv9HTNACAGIn7mAqenweDwybBHARewNdzeVjyacIXzh33CHIdSy2+0yVCYcDmNoaAhPPvkk3G43tm3bhnw+j+eeew7z8/MdLW9GM8M5tLr6W60WYrEYSqUS+vv75YBIQgRGRQAypJEYVNM0eL1eGVrIEjqfzwSLlT9GWUZO3jTCimg0iuHhYYECFotFcLbaUc1iSLvdFidn4yrL9V1dXYhEIjJ3hNSbCgnIJ7PZgXOnyUGrIxzUcWbqWF3uECwEkW4E0MHrq+VvTdPQ09ODVquFRCKBTZs2YWxsDOfOncPx48elN9KoZjiHVjN1Xdel4tbd3Y1QKITFxUXZLrn9A5ACArW7PDmVMIHjr+iwKlfNCEdnYKScnZ3F8PAwAoGAcMh0sHa7LaXtUCjUQdkBkF1kZGQEZrNZpKRkTsLhsHRv828JF6hRVncetolRjcehjKunPpF9ACBaEavVinQ63XFuOQMHRVdMsDVtual4dnYWtVoNO3fuRDAYxH/913/JgZ5GNsM5tIrNNG25d21hYQE33HADBgcHcfLkSeFjub2zW9nv90uCxS2b8kwWZAB0yEkp+Gfm3mq1pFWLPYFOpxM9PT3SycHRWblcrqNzm45CViCTyYjclYuC1BxzADoUS9CMzhwcSQflYiH2Z2JKTp3OCHSW8Xk9/G7JdXMR0ZFLpZKcb2i32zE/P49wOIzrrrsOJpNJqp9G7PRWzXAOrRp1C2fPnsX111+P3t5e0S8QZ6uaArVhdLV4hokR+WMmTYQA5XJZqEGzefmMbIqHxsbG0NfXh3w+LycE5PN5WK1WqWKS561UKrDZbOju7pbRtavVcGwf4yRSOhYAibgqz03hkfo3HLrIz8fKn0rbkb0gq6F2qBBXs3hEYRQ/TzQaxcaNGzE8PIxEIoHp6emLBssb0bEN69B0rGaziePHj6NYLGLHjh14/PHHZWg3oxlL3ow2qhBf5aN5s6vVageHq+JNQpKBgQHhjtevXw9N0xCNRpHL5cRxnE4nfD6fYGdVUx0KhTA/Py8LgBDBbDZjYGAAgUAATqdTCicqW8LPRaikJn1kaYLBoCwGXo+Kwwm/TKblaavqybtcVGyUACDcNvF+qVTC1VdfjWAwiKeeegpzc3Mdw2WM6tDGatldZayezczMIBqNYsOGDeju7kaj0UA6nYamaQIxOCqsUChIJYzlYlXvQPaEr68K9NUyN9mQ0dFR9PT0IJlMolgsio4hFArB7XYLzcbXLRQKaLVa8Hq9CIVCwktHo1GUy2VhK9T2K0ZPwqTVA27o4MT9fr9fZLFqU6w6kUn9fBx2vrS0JP9PPTOZDn4ngUAA2WwWHo8Hu3fvhtlsxsTEBJLJpGGnJalmaIemkySTSUxOTsLv92NsbEyKKxQmqdvn0tKSfPkqHaZyvnxtRmXiXG7P1P5u3rwZW7dulaSKbUjhcBgej0eqZVwwLE+zW4RYnO/JQhCxM1kaLiD12GYyE2RM1EHj5Mq5M/AzEpqok/7VrhdVlUdH55kzqVQKHo8HfX19SKfTGB0dxejoqAiuiNGNGplphnZoRqd8Po9Tp05B0zTs3r0boVAI+XweiUQCxWKxo7hCGSejrhqFWfRQW/rVnkImSs1mE8FgENu3b0dfX5+UpCnE93q9oqIj90vJZTAYRF9fH+x2u1BzjKTZbFaug5iZGms2oFJrwmirtmQB6GBB6Oic38eTwDKZDNLptJwzuLpZmOwIo3ShUMCZM2cQDAYlGNx4440IBoM4f/48zp07J7Sg0c1wV6iWcMlCtFotnDhxAvPz8xgfH8eWLVvw5JNPIhaLdRQsWD2jA9FRgc5RuaqEk1v+6qGMTAw5T4NORUxOMROTL95wnvvChaZCGADIZDId05/cbrcUfdjYSvjDz6JCCZV/VxNOwixSigCEwXG5XB1D0lmgojNPTExgeHgYPT09+I//+A/09/dj3759aLVaOHz4ME6cOIFisSiLy8hmuAitacs/asbebDaRSqUwOTmJQCCAN73pTRJhkskkFhcXZTA3S8EcJ8aOaVV/wKRxtdRUbXQ1mUxyzjajORcFox6rkixY9PT0yOy6crksCarH48HIyIicbktdCJNYwgWKj1jRVKc5qVFaZVX402q1REGnHn9BPTOjOr9POv2xY8fgdDrxx3/8x1KV3LNnD4aGhnD69Gk888wz0mhBqeky7AAA7b9/jGOGi9CrjaxDrVbDoUOH8OY3vxlvfOMbhU5aWFhAMBjsmHuhdj8zApNBUKcjUeTDyKVywuS2qTJTHYjG5zIpU6m+VCoFTdMwMjIinSmM0oODg3C73ahUKqLToJBIvT7uIKpIn4uRWJ+7DrUn1GkTDhEKkQ5Uf6LRKJaWlnDHHXegVCrh5MmT8Pv92LVrFwDg2WefxeTkpDAnl4MZ1qF58xhhyuUyTp48iampKWzcuBG7d+/GD3/4QySTSVgsFsTjcfT29koUJgxRoy77+li+ZkRXWQZgeREREhBmMBqTClQLKSzycCER59psNuksqVarCIfDaLfb6O3tRTAYFM6aRRy2PBHjAivqudWQiVy1OjOEkbtUKknbGhNHVlJp+Xwe8/PzCAQCGB4exunTp5HNZrFz505s374d58+fx7Fjx5DL5QCg47tcXtTGisw0w0EOmloUoVB+dnYWhw4dgs1mw/79++XcwUKhgHg8LqelqokQFwRvhopHeYRZJpMR1kQtSKjMCB2MkVplS4CVIy7oXIzGjUYDIyMjqNVqOHfunDTnskhRKBSQSCSwtLQkiRu7S1g0UotB3HF4bcDKCV+sgBYKBTlCutlsis6ZzzWbzfKcdevWIZlM4ujRo9B1Hddccw0CgQCOHDmCs2fPXpSLGJnhAAwcoRnpVP1vNpvFkSNHEI/HcdVVV2HHjh146qmnpCiQy+UkChPvcWtW4QKprWKxKPiQ3d0c3FIul+WscI7t4vuwFYvXZrVa5bnqdbPoY7fbMTAwgKmpKZTLZYEGdrtd5karxQ61u13VLFPIRKdS6UBWH8nLc1xBpVIRvpx/32w2pWwfCoUwMTGBeDyO7du349Zbb0UqlcLp06eF3VHhjtHNsBFaLRAwOjQaDZw7dw4TExMIh8O48cYbpY+w1WqJFkFVmzExYwnZYrFIR/n8/Dzm5+eF4mo0GqJYU6EICyFOp1Nek4dRMhrzOtRSNQAR6Pv9fnR3d4ueI5fLiQ6bn40d12qxhJSkmrgSVxNPr2ZpuGDJNbOyyiJQLpfD/Py8DKo8f/48AGDv3r0YHh7G9PQ0zpw5g1gsJhy/6sxGZjoM69Dq1sYMv9FoYGlpCVNTU6jVarjhhhuk0AIAqVQK2WxWKoeVSkWmGRE2VKtVJJNJxGIxSdw8Ho+MDmP3M3E2k0Oee7Jad61iZ7IL6gActjFR2eb1euF0OiVZc7vdiEQiAleAzgWpCvb5XfD9mJCSc2eE5wLm7sQuGDIqpVIJ6XQaHo8HsVhMmnZ37doFs9mMhYUFxGIx2eVW7sn/0s3/H5hhHRq4GK9RrHT+/HnMzc2hr68Pe/fulRtusVgwNzcnugqVpuKWnE6nceHCBcTj8Q7NNJkSFaKoeJUJGHlgQgxgZcEBEOxOrM7fkfvlArJYLLKjBINB6aph5ZGvxc5xteq5WoTFIg1n5AWDQZGmAhDpLI9HjsfjsmDPnz8PXddxyy23YGRkBDMzM1LqvhwgxmozNIam0bnYk3fy5EkcOXIEQ0NDOHDgAA4dOoT5+Xn4/X7pexseHhYsyoSJhYRisQgAEi2JLbkoGIXVYeEsRasdMhT/q3iX0ZM8sjqbmQ2qoVCoY2QCF5Gq2+AIMpax+boqFiZTQ+aFTQBcEDzYiIKsXC6HbDaL6elpeL1e0b5s2rQJd911F5xOJ375y1/i1KlTskguNzNchNb15R8Vp6kJnclkQiwWw+HDhxGNRrF161bs2bNHEhir1YpoNCrJGyWTHIGQy+VEihkMBkWnrEKIer0uh+owuprNZqm6UT8MQBxXTV55vVarVYbQxGIxJBIJpFIpAEB/f79gajbVqtQYRffsP1STM1XvrBaIuHt4PB6Ew2EEg0Hpf6SdP38eiUQCFotFEuJbb70VQ0NDOHXqFJ599lnMzc1JV04nXja2jgMwoEO/mrXby233ExMTOHHiBGw2G2688UaEw2GZjM9tlcId4sparYZCoSDcspp4qlyyikH5OwByDBoLPeqQcyaTTM7YUEABEDln9vjxBFibzSZMB6+LJXAVbqgKOnXHotMRI9MRyW/7fD4EAgH4fD6Ew2FZnIlEQkRI119/PdrtNk6ePImTJ08ikUgAWBntsNqM7NSGc2hG6IsfX2E8ms0mFhcXMTExgWw2i23btmHnzp0yMlfTNMzPz8sNUUvc3L7pWEx8+Bw6S6PREAaCA8ZJj7ESx1kXZFlUnXQgEBAaz2q1YmRkBFu2bJEOa7ZD5XI5pFIpKX7Q4XgSLJ1ZjcYAZDqTemQH526Qf1Zb0hjZKZZaWlpCOBzGO97xDoyPj2N6ehpHjx5FMpns6EC/3HC04Ryaxgi0+odFk2w2ixdffBEXLlyAy+XCnXfeid7eXkSjUYTDYdRqNczOzkp0Jn5W59pxi2bBhSN81WtgIYIsCR2aCSTxrtqBTahis9kQCoWkH5JTmIBlcVMul5M5eF6vF+FwWHokeayx2rmtVgSJvR0Oh/ROqnM9qBxkpAc6j53WNA0HDhzA29/+djSbTZw4cQKLi4tYWlrq2AH4mQBj03U0wzr0yxlvaLVaxdmzZ3Hs2DHk83ns3bsXt956KwqFAgqFAvx+vzTYtlrLc/I4xopUnDoSDIBgVhWGMOqqIwoAiC5ELUvTiblImJBSRJ/JZORYZrIQamGHx2jk83mZ2sSFwmsgHle5cy4osiIUatG5qcDLZrOIx+MolUro6enBLbfcguHhYczNzWFiYgKZTEa0M0xYjQwvXsouO4empFLXdcTjcZw+fRrnz5+Hw+HATTfdhOHhYUSjUej68nDE48eP49y5c5idnZXpRkyWOH5L7dhQoYSqA2GkZAR2Op3w+/0yN5mOTQdWz3QpFApyCLw69ZPsS3d3txxJUalUpGytiv2Jq+fm5iSxY3sXeWv+bTqdllG8wHIiHY/HceLECWSzWYRCIdx222246qqr0Gw2sbCwgAsXLiAWi71qFDZ6lDa8Q6s6AmAlQhMTz8/P4/z586jVati6dSvuueceRCIRzM7OShfI3NycJFw8oF1tyeLWzKGIs7Oz0jIFdI6sZQS2WCwIhULw+XyCZVWFHEvi7XYbiUQCjUZDegkpN3W5XDIzhNdECSd3BmJgsh7qmTLsSudAG3WYOa+XlUEubLPZjF27duHgwYPo7u5Gq9WSpgC2l/HvV3/3/F8jO7XhHfqljJGTsOP06dM4e/YsPB4P7rnnHtx5553QNE3oKc6eYwTlTQNWREUs2kSjUSwuLorYiVJNFiLoOMAyDiazweSPElQmpCxZOxwOBINBtNttLC4uIpfLSVsUnZbvAUCKNmrLlM1mQ09PD0KhkAwe54RWfhYAUj3kc6ampiSfGB8fxx133IEtW7ZIA20ikZCj4lbbslOvOLPR7bJzaLXA0G63kUwmcebMGRw/fhxnz56Fz+fD3XffjVtvvRXpdBrRaBS1Wg0nTpxAOp3uwMXEzIQY+Xy+Yyo/qTm1g5q7Q6vVkiSyXC5LgtZuL08uTSaTiMfjSKfTAFbGdplMJqRSqQ4mgbiVYiaPxyO4myyKpmkywqxer8NisQhtyGsHVnYQ8u7z8/Ny+Oe6devwzne+EwcOHIDL5UK9Xsf09DQWFxelXWu1yvFyw9CGrRS+nLFCxu2wVqthenoaL7zwAkwmE/r7+7Fx40bcd999SCQS+M1vfiMKPHU4DMVEHOzNqhzpMCr2stmsDP3mY+SRbTYbisWicL6MtjabDaVSSRgFFl/IslCURKaFjkmH5mgELjgOpSQ3zgSzVquhr69PoJI6d4/S2FQqhWKxCLfbjeuvvx5vf/vb0dfXB5PJhIWFBRw+fBjT09MCNy43B15tl5VDMylT5YztdhuxWAzPPfccfD4fzpw5g2uvvRbbtm3D/fffj3q9jsOHD6Ner+PIkSMolUrYunWrTOCkxJKUIADBtI1GA4lEoqPaxptOTppdMjzCwu12w+12w+FwyJkmnJ+RTqdlvgUn5bP0Tv0JlXOUqqrd2+oJuJS4zs3Nod1uIxwOy4ICVgT88/PzqFar2Lt3Lw4ePIjR0dGOauupU6cwPz+PTCZzEeesRuvLxS4rh1ajh6prqNfrOH/+PEZGRnD69Gn4/X5s3LgRBw4cgKZp+MxnPoPJyUkUi0V0dXWhr68Pvb29ADonFVHnzC4Qah0Ib9RhNPx/r9crbEk+n0culxOuWj1ZQNM0hEIh+P1+OVDI5/PB6/UCWGk149gCNQnkv0n3ccij2WyWkjoXg8vlklkmL774IpLJJMbGxnD33XfjjW98o5xk9dxzz+HYsWOYmZmRUje/z8s5Sl9WDt1pumg+ePOJoTk7rqenB7t27cKf/dmf4Ytf/CLm5uaQSCQwNzcnon2n0ylHUVCU32q1kE6npdOZDqVm/YyEAESOyfkXPJrC7/d3NAF0dXVhdHQUi4uLSKVSGBoaEuxNiMJRB6lUSqASFxpVg6FQCLqui7JuZmYGsVhMInsymcTExARisRhCoRDuvPNOHDhwQCjJF154AYcOHcLRo0dx9OhRFAoFGUR5OTszcFk79LKpW/L09LRg7MHBQezbtw9erxd33nkn2u02vvjFL2J2dhbT09Oo1WoYHx+XkQCapklSl06nRT7JDm2ebAustEgxgSSVxkQSAJaWliQ602GsVisikQg8Hg+mpqYQDocRDodhMpk6ZokUCgVUKhUMDAwIFVcsFqWtq1qtCp4PhUJwOBw4d+4cZmZmYDKZcOLECSwsLMBut+OOO+7A+9//fjlo6NixY3juuecwMTGBU6dOyUGfql7kcrbL3qFpZC2i0SgmJiaE8929ezdcLhfuvvtulMtlPPbYY0gkEnJ4JMcLRCIRcdJ6vY5UKgWbzYa+vj6BGRxuzmhGeo4VQeJrYnImkgCQy+XQ09Mj+D8cDqPZbErlUK3QcUTv4OAgNE0TrYff75ejlJvNpgxW9Hg8qNVqeOaZZzAxMSELbc+ePbj33nsxODiIdruNubk5HD16FIcOHcLx48flYKPLDSe/kmn6lbAs12zN/tsuOx56zdbslWzNodfsirI1h16zK8rWHHrNrihbc+g1u6JszaHX7IqyNYdesyvK1hx6za4oW3PoNbui7P8BGiTtzHnl1uUAAAAASUVORK5CYII=\n"
},
"metadata": {}
}
],
"source": [
"visualize_model(model_conv)\n",
"\n",
"plt.ioff()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ZbmJT9frW2lF"
},
"source": [
"## Further Learning\n",
"\n",
"If you would like to learn more about the applications of transfer learning,\n",
"checkout our [Quantized Transfer Learning for Computer Vision Tutorial](https://pytorch.org/tutorials/intermediate/quantized_transfer_learning_tutorial.html).\n",
"\n",
"\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.10"
},
"colab": {
"provenance": [],
"gpuType": "V100"
},
"accelerator": "GPU",
"gpuClass": "standard"
},
"nbformat": 4,
"nbformat_minor": 0
}