Research Article
Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images
Table 2
CNN model architecture details.
| | Layer | Dimension | Stride | Activation |
| | Input | | — | — | | Convolutional layer | | 2 | ReLU | | Max pooling | | 1 | — | | Convolutional layer | | 2 | ReLU | | Max pooling | | 1 | — | | Convolutional layer | | 2 | ReLU | | Max pooling | | 1 | — | | Fully connected | 300 | — | ReLU | | Fully connected | 200 | — | ReLU | | Output | 1 | — | Sigmoid |
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