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+# tf_EEGLearn
+All implementations are not guaranteed to be correct, have not been checked by original authors, only reimplemented from the paper description and open source code from original authors.
+
+
+## Prerequisites
+
+- python >= 3.5
+- tensorflow-gpu >= 1.2
+  - `conda install tensorflow-gpu=1.2`
+- Numpy
+- Scipy
+- Scikit-learn
+
+## EEGLearn
+
+It's a tensorflow implementation for EEGLearn
+
+    Bashivan, et al. "Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks." International conference on learning representations (2016).
+    http://arxiv.org/abs/1511.06448
+
+For more information please see https://github.com/pbashivan/EEGLearn
+
+<center>
+
+![Diagram](./images/diagram.png 'Diagram.png')
+
+![AEP](./images/AEP.png 'AEP.png') 
+</center>
+
+## Leave-one-subject-out Experments
+
+### Model: EEGLearn
+
+
+| Subject id | S0 | S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | S11 | S12 | mean |
+|---         |--- |--- |--- |--- |--- |--- |--- |--- |--- |--- |---  |---  |---  |---  |
+| CNN test acc | 55.14 | 73.58 | 93.47 | 100.00 | 100.00 | 99.50 | 99.48 | 100.00 | 98.57 | 100.00 | 98.62 | 72.25 | 49.55 | 87.70 |
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