Table 4 Main parameters of the CNN model.
From: A hybrid deep neural network for classification of schizophrenia using EEG Data
Layer | Filter size | Number of filters | Number of neurons | Stride | Padding |
|---|---|---|---|---|---|
Conv1 | 3 \(\times\) 3 | 32 | – | 1 | 1 |
Max-pooling 1 | 2 \(\times\) 2 | – | – | 2 | 0 |
Conv2 | 3 \(\times\) 3 | 64 | – | 1 | 1 |
Max-pooling 2 | 2 \(\times\) 2 | – | – | 2 | 0 |
Conv3 | 3 \(\times\) 3 | 128 | – | 1 | 1 |
Max-pooling 3 | 2 \(\times\) 2 | – | – | 2 | 0 |
