Table 7.
Architecture of proposed CNN-2 model.
| Layer (Type) | Output Shape | Parameters |
|---|---|---|
| conv2d (Conv2D) | (None, 62, 62, 32) | 896 |
| activation (Activation) | (None, 62, 62, 32) | 0 |
| max_pooling2d (MaxPooling2D) | (None, 31, 31, 32) | 0 |
| conv2d_1 (Conv2D) | (None, 29, 29, 64) | 18,496 |
| activation_1 (Activation) | (None, 29, 29, 64) | 0 |
| max_pooling2d_1 (MaxPooling2D) | (None, 14, 14, 64) | 0 |
| conv2d_2 (Conv2D) | (None, 12, 12, 128) | 73,856 |
| activation_2 (Activation) | (None, 12, 12, 128) | 0 |
| max_pooling2d_2 (MaxPooling2D) | (None, 6, 6, 128) | 0 |
| conv2d_3 (Conv2D) | (None, 4, 4, 256) | 295,168 |
| activation_3 (Activation) | (None, 4, 4, 256) | 0 |
| max_pooling2d_3 (MaxPooling2D) | (None, 2, 2, 256) | 0 |
| flatten (Flatten) | (None, 1024) | 0 |
| dense (Dense) | (None, 512) | 524,800 |
| activation_4 (Activation) | (None, 512) | 0 |
| dropout (Dropout) | (None, 512) | 0 |
| dense_1 (Dense) | (None, 256) | 131,328 |
| activation_5 (Activation) | (None, 256) | 0 |
| dropout_1 (Dropout) | (None, 256) | 0 |
| dense_2 (Dense) | (None, 128) | 32,896 |
| activation_6 (Activation) | (None, 128) | 0 |
| dense_3 (Dense) | (None, 64) | 8256 |
| activation_7 (Activation) | (None, 64) | 0 |
| dense_4 (Dense) | (None, 32) | 2080 |
| activation_8 (Activation) | (None, 32) | 0 |
| dense_5 (Dense) | (None, 1) | 33 |
| activation_9 (Activation) | (None, 1) | 0 |