Fig. 4From: Automatic seizure detection using three-dimensional CNN based on multi-channel EEGThe architecture of 3D CNN. 3D CNN network has 4 convolution layers, 3 max-pooling layers, and 2 fully connected layers, followed by a softmax output layer. All conv3D kernels are 3*3*3 with stride 1 in both three dimensions; all pooling layer kernels are 2*2*2. The first fully connected layer has 4096 output units and the second fully connected layer has 2048 output unitsBack to article page