Table 4.
Parameters of the proposed CNN model.
| Model: “Sequential” | ||
|---|---|---|
| Layer (type) | Output Shape | Parameter # |
| conv2d (Conv2D) | (None, 64, 64, 32) | 2432 |
| max_pooling2d (MaxPooling2D) | (None, 32, 32, 32) | 0 |
| conv2d_1 (Conv2D) | (None, 32, 32, 32) | 9248 |
| max_pooling2d_1 (MaxPooling2D) | (None, 16, 16, 32) | 0 |
| conv2d_2 (Conv2D) | (None, 16, 16, 64) | 18,496 |
| max_pooling2d_3 (MaxPooling2D) | (None, 8, 8, 64) | 0 |
| conv2d_3 (Conv2D) | (None, 8, 8, 96) | 55,392 |
| max_pooling2d_3 (MaxPooling2D) | (None, 4, 4, 96) | 0 |
| flatten (Flatten) | (None, 1536) | 0 |
| dense (Dense) | (None, 512) | 786,944 |
| dropout (Dropout) | (None, 512) | 0 |
| dense_1 (Dense) | (None, 256) | 131,328 |
| dropout_1 (Dropout) | (None, 256) | 0 |
| dense_2 (Dense) | (None, 10) | 2570 |
| Total parameters: 1,006,410 Trainable parameters: 1,006,410 Non-trainable parameters: 0 |