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Table 2 The parameters of the 3D CNN

From: Automatic seizure detection using three-dimensional CNN based on multi-channel EEG

Layer Hidden Layer Related parameters (kernel, kernel size, stride, dropout)
1 Conv3D + LeakyReLU 64 3*3*3 1*1*1
2 Max Pooling   2*2*2 2*2*2
3 Conv3D + LeakyReLU 128 3*3*3 1*1*1
4 Max Pooling   2*2*2 1*2*2
5 Conv3D + LeakyReLU 256 3*3*3 1*1*1
6 Conv3D + LeakyReLU 256 3*3*3 1*1*1
7 Max Pooling   2*2*2 1*2*2
8 Fully connected 4096
9 Fully connected 2048
Softmax