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Fig. 5 | BMC Medical Informatics and Decision Making

Fig. 5

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

Fig. 5

The architecture of 2D CNN. 2D CNN network has 5 convolutions, 5 max-pooling and 2 fully connected layers with a dropout rate of 0.5, followed by a softmax output layer. Conv2D kernels are 3*3 with stride 1or 5*5 with stride1; pooling layer kernels are 2*2 with stride 2 or 3*3 with stride 2. The first fully connected layer has 2048 output units and the second fully connected layer has 1024 output units

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