Research Article
Deep Learning for the Classification of Genomic Signals
Table 1
Description of the layers for the proposed CNN architecture.
| Type of layer | Patch size | Output size | Number of Parameters |
| Input | | | 0 | Convolution | | | 896 | Convolution | | | | Max pooling | | | 0 | Convolution | | | | Convolution | | | | Max pooling | | | 0 | Convolution | | | | Convolution | | | | Convolution | | | | Max pooling | | | 1 | Inception | | | | Inception | | | | Inception | | | | Inception | | | | Average pooling | | | 0 | Fully connected | | | | Fully connected | | | | Fully connected | | | | Softmax | | | 258 |
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