| Model: "model" |
| _________________________________________________________________ |
| Layer (type) Output Shape Param # |
| ================================================================= |
| input_1 (InputLayer) [(None, 50, 50, 3)] 0 |
| |
| sequential (Sequential) (None, 50, 50, 3) 0 |
| |
| rescaling (Rescaling) (None, 50, 50, 3) 0 |
| |
| conv2d (Conv2D) (None, 48, 48, 256) 6912 |
| |
| batch_normalization (BatchN (None, 48, 48, 256) 1024 |
| ormalization) |
| |
| activation (Activation) (None, 48, 48, 256) 0 |
| |
| conv2d_1 (Conv2D) (None, 46, 46, 256) 589824 |
| |
| batch_normalization_1 (Batc (None, 46, 46, 256) 1024 |
| hNormalization) |
| |
| activation_1 (Activation) (None, 46, 46, 256) 0 |
| |
| max_pooling2d (MaxPooling2D (None, 23, 23, 256) 0 |
| ) |
| |
| conv2d_2 (Conv2D) (None, 21, 21, 256) 589824 |
| |
| batch_normalization_2 (Batc (None, 21, 21, 256) 1024 |
| hNormalization) |
| |
| activation_2 (Activation) (None, 21, 21, 256) 0 |
| |
| max_pooling2d_1 (MaxPooling (None, 10, 10, 256) 0 |
| 2D) |
| |
| conv2d_3 (Conv2D) (None, 8, 8, 256) 589824 |
| |
| batch_normalization_3 (Batc (None, 8, 8, 256) 1024 |
| hNormalization) |
| |
| activation_3 (Activation) (None, 8, 8, 256) 0 |
| |
| max_pooling2d_2 (MaxPooling (None, 4, 4, 256) 0 |
| 2D) |
| |
| flatten (Flatten) (None, 4096) 0 |
| |
| dropout (Dropout) (None, 4096) 0 |
| |
| dense (Dense) (None, 512) 2097664 |
| |
| dense_1 (Dense) (None, 128) 65664 |
| |
| dense_2 (Dense) (None, 32) 4128 |
| |
| dense_3 (Dense) (None, 1) 33 |
| |
| ================================================================= |
| Total params: 3,947,969 |
| Trainable params: 3,945,921 |
| Non-trainable params: 2,048 |
| _________________________________________________________________ |
|
|
