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- Model: "functional_1"
- Layer (type) β Output Shape β Param # β
- input_layer (InputLayer) β (None, 256, 256, 3) β 0 β
- conv2d (Conv2D) β (None, 256, 256, 32) β 4,736 β
- conv2d_1 (Conv2D) β (None, 256, 256, 32) β 50,208 β
- max_pooling2d (MaxPooling2D) β (None, 64, 64, 32) β 0 β
- conv2d_2 (Conv2D) β (None, 64, 64, 64) β 51,264 β
- conv2d_3 (Conv2D) β (None, 64, 64, 64) β 102,464 β
- max_pooling2d_1 (MaxPooling2D) β (None, 32, 32, 64) β 0 β
- conv2d_4 (Conv2D) β (None, 32, 32, 128) β 73,856 β
- conv2d_5 (Conv2D) β (None, 32, 32, 128) β 147,584 β
- max_pooling2d_2 (MaxPooling2D) β (None, 16, 16, 128) β 0 β
- conv2d_6 (Conv2D) β (None, 16, 16, 256) β 295,168 β
- conv2d_7 (Conv2D) β (None, 16, 16, 256) β 590,080 β
- max_pooling2d_3 (MaxPooling2D) β (None, 8, 8, 256) β 0 β
- flatten (Flatten) β (None, 16384) β 0 β
- dense (Dense) β (None, 1024) β 16,778,240 β
- dense_1 (Dense) β (None, 512) β 524,800 β
- dense_2 (Dense) β (None, 256) β 131,328 β
- dense_3 (Dense) β (None, 128) β 32,896 β
- dense_4 (Dense) β (None, 8) β 1,032 β
- Total params: 56,350,970 (214.96 MB)
- Trainable params: 18,783,656 (71.65 MB)
- Non-trainable params: 0 (0.00 B)
- Optimizer params: 37,567,314 (143.31 MB)
Test Loss: 0.001258564880117774, Test MAE: 0.018795978277921677
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