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README.md 749 Bytes
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# DL-Project

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Predicting eye gaze with DL
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    Projects that we try: CNN, InceptionTime, EEGNet, DeepEye



## Leonhard Settings

Please use the command

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`module load gcc/6.3.0 python_gpu/3.8.5 hdf5/1.10.1`

before training the model. Please make sure that the Tensorflow version should be 2.x.

## deepEye3 tuning

nb_filter: [32, 64]

depth: [9, 12, 20]

kernel_size:[40, 20]

residual_jump: [3, 4]

Large depth causes overfitting, same for the number of filters. Kernel size seems to have tiny affect on validation. Residual jump for 4 (i.e. `depth % (res_jump) == (res_jump - 1)`) is not so good in our task, but I think it would be useful for future tasks.

The best setting is **nb_filter == 32, depth == 9, kernel_size == 40, res_jump == 3**
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