Figure 2
From: MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks
Structure of MC-SleepNet. MC-SleepNet uses eight types of layers: convolution, max-pooling, dropout, concatenate, element-wise add, bi-LSTM, full-connection, and softmax layers. The parameters of each layer are illustrated in the boxes.
