Table 5 The detailed information of the proposed network
From: Prediction of exercise sudden death in rabbit exhaustive swimming using deep neural network
Layers | Layers types | Output size | Kernel/pool size | Filter numbers | Stride | Activation function |
|---|---|---|---|---|---|---|
0 | Input | 1001 × 1 | – | – | – | – |
1 | 1D conv | 982 × 9 | 20 | 9 | 1 | ReLU |
2 | 1D max pooling | 245 × 9 | 4 | – | 4 | – |
3 | 1D conv | 226 × 9 | 20 | 9 | 1 | ReLU |
4 | 1D max pooling | 56 × 9 | 4 | – | 4 | – |
5 | 1D conv | 37 × 9 | 20 | 9 | 1 | ReLU |
6 | 1D max pooling | 9 × 9 | 4 | – | 4 | – |
7 | GRU | 128 | – | – | – | dropout = 0.5 |
8 | dense | 2 | – | – | – | softmax |