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Model: "sequential_1" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_4 (Conv2D) (None, 48, 48, 64) 640 batch_normalization_4 (Bat (None, 48, 48, 64) 256 chNormalization) activation_4 (Activation) (None, 48, 48, 64) 0 max_pooling2d_4 (MaxPoolin (None, 24, 24, 64) 0 g2D) conv2d_5 (Conv2D) (None, 24, 24, 128) 204928 batch_normalization_5 (Bat (None, 24, 24, 128) 512 chNormalization) activation_5 (Activation) (None, 24, 24, 128) 0 max_pooling2d_5 (MaxPoolin (None, 12, 12, 128) 0 g2D) conv2d_6 (Conv2D) (None, 12, 12, 512) 590336 batch_normalization_6 (Bat (None, 12, 12, 512) 2048 chNormalization) activation_6 (Activation) (None, 12, 12, 512) 0 max_pooling2d_6 (MaxPoolin (None, 6, 6, 512) 0 g2D) conv2d_7 (Conv2D) (None, 6, 6, 512) 2359808 batch_normalization_7 (Bat (None, 6, 6, 512) 2048 chNormalization) activation_7 (Activation) (None, 6, 6, 512) 0 max_pooling2d_7 (MaxPoolin (None, 3, 3, 512) 0 g2D) flatten (Flatten) (None, 4608) 0 dense (Dense) (None, 256) 1179904 batch_normalization_8 (Bat (None, 256) 1024 chNormalization) activation_8 (Activation) (None, 256) 0 dropout (Dropout) (None, 256) 0 dense_1 (Dense) (None, 512) 131584 batch_normalization_9 (Bat (None, 512) 2048 chNormalization) activation_9 (Activation) (None, 512) 0 dropout_1 (Dropout) (None, 512) 0 dense_2 (Dense) (None, 9) 4617 ================================================================= Total params: 4479753 (17.09 MB) Trainable params: 4475785 (17.07 MB) Non-trainable params: 3968 (15.50 KB) _________________________________________________________________ |