From: Predicting enhancers with deep convolutional neural networks
Layer ID | Layer Type | Size | Output shape |
---|---|---|---|
0 | Input | – | 4x1x300 |
1 | Conv | 128x4x1x8 | 128x1x293 |
2 | Batchnorm | – | 128x1x293 |
3 | Conv | 128x128x1x8 | 128x1x286 |
4 | Batchnorm | – | 128x1x286 |
5 | Maxpooling | 1 × 2 | 128x1x143 |
6 | Conv | 64x128x1x3 | 64x1x141 |
7 | Batchnorm | – | 64x1x141 |
8 | Conv | 64x64x1x3 | 64x1x139 |
9 | Batchnorm | – | 64x1x139 |
10 | Maxpooling | 1 × 2 | 64x1x69 |
11 | Dense | 256 | 256 |
12 | Dropout | – | 256 |
13 | Dense | 128 | 128 |
14 | Softmax | 2 | 2 |