EEG classification
S4b_train = np.load('./lab2/lab2_dataset/train/S4b_train.npz')
X11b_train = np.load('./lab2/lab2_dataset/train/X11b_train.npz')
S4b_test = np.load('./lab2/lab2_dataset/test/S4b_test.npz')
X11b_test = np.load('./lab2/lab2_dataset/test/X11b_test.npz')
FirstConv -> DepthwiseConv -> SeparableConv -> Classification
ELU alpha value = 0.15
Dropout probability = 0.4
Num epochs = 150
Batch size = 64
Learning rate = 0.001
Optimizer:Adam
Loss function:torch.nn.CrossEntropyLoss()
Weight decay = 0.005