Table 2.
Proposed deep neural network layers.
| Layer (type) | Output shape | Param # |
|---|---|---|
| conv2d (Conv2D) | (None, 224, 224, 64) | 1792 |
| conv2d_1 (Conv2D) | (None, 224, 224, 64) | 36928 |
| max_pooling2d (MaxPooling2D) | (None, 112, 112, 64) | 0 |
| conv2d_2 (Conv2D) | (None, 112, 112, 128) | 73856 |
| conv2d_3 (Conv2D) | (None, 112, 112, 128) | 147584 |
| max_pooling2d_1 (MaxPooling2) | (None, 56, 56, 128) | 0 |
| conv2d_4 (Conv2D) | (None, 56, 56, 256) | 295168 |
| conv2d_5 (Conv2D) | (None, 56, 56, 256) | 590080 |
| conv2d_6 (Conv2D) | (None, 56, 56, 256) | 590080 |
| max_pooling2d_2 (MaxPooling2) | (None, 28, 28, 256) | 0 |
| conv2d_7 (Conv2D) | (None, 28, 28, 512) | 1180160 |
| conv2d_8 (Conv2D) | (None, 28, 28, 512) | 2359808 |
| conv2d_9 (Conv2D) | (None, 28, 28, 512) | 2359808 |
| max_pooling2d_3 (MaxPooling2) | (None, 14, 14, 512) | 0 |
| conv2d_10 (Conv2D) | (None, 14, 14, 512) | 2359808 |
| conv2d_11 (Conv2D) | (None, 14, 14, 512) | 2359808 |
| conv2d_12 (Conv2D) | (None, 14, 14, 512) | 2359808 |
| max_pooling2d_4 (MaxPooling2) | (None, 7, 7, 512) | 0 |
| flatten (flatten) | (None, 25088) | 0 |
| dense (dense) | (None, 4096) | 102764544 |
| dense_1 (dense) | (None, 4096) | 16781312 |
| dense_2 (dense) | (None, 3) | 12291 |
| Total params: 134272835; trainable params: 134272835; nontrainable params: 0 |