_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= batch_normalization_1 (Batch (None, 96, 96, 1) 4 _________________________________________________________________ conv2d_1 (Conv2D) (None, 96, 96, 32) 832 _________________________________________________________________ max_pooling2d_1 (MaxPooling2 (None, 48, 48, 32) 0 _________________________________________________________________ conv2d_2 (Conv2D) (None, 48, 48, 64) 18496 _________________________________________________________________ batch_normalization_2 (Batch (None, 48, 48, 64) 256 _________________________________________________________________ activation_1 (Activation) (None, 48, 48, 64) 0 _________________________________________________________________ conv2d_3 (Conv2D) (None, 48, 48, 64) 36928 _________________________________________________________________ batch_normalization_3 (Batch (None, 48, 48, 64) 256 _________________________________________________________________ max_pooling2d_2 (MaxPooling2 (None, 24, 24, 64) 0 _________________________________________________________________ conv2d_4 (Conv2D) (None, 24, 24, 128) 73856 _________________________________________________________________ batch_normalization_4 (Batch (None, 24, 24, 128) 512 _________________________________________________________________ activation_2 (Activation) (None, 24, 24, 128) 0 _________________________________________________________________ conv2d_5 (Conv2D) (None, 24, 24, 128) 147584 _________________________________________________________________ batch_normalization_5 (Batch (None, 24, 24, 128) 512 _________________________________________________________________ max_pooling2d_3 (MaxPooling2 (None, 12, 12, 128) 0 _________________________________________________________________ conv2d_6 (Conv2D) (None, 12, 12, 256) 295168 _________________________________________________________________ batch_normalization_6 (Batch (None, 12, 12, 256) 1024 _________________________________________________________________ activation_3 (Activation) (None, 12, 12, 256) 0 _________________________________________________________________ conv2d_7 (Conv2D) (None, 12, 12, 256) 590080 _________________________________________________________________ batch_normalization_7 (Batch (None, 12, 12, 256) 1024 _________________________________________________________________ max_pooling2d_4 (MaxPooling2 (None, 6, 6, 256) 0 _________________________________________________________________ conv2d_8 (Conv2D) (None, 6, 6, 512) 1180160 _________________________________________________________________ batch_normalization_8 (Batch (None, 6, 6, 512) 2048 _________________________________________________________________ activation_4 (Activation) (None, 6, 6, 512) 0 _________________________________________________________________ conv2d_9 (Conv2D) (None, 6, 6, 512) 2359808 _________________________________________________________________ batch_normalization_9 (Batch (None, 6, 6, 512) 2048 _________________________________________________________________ max_pooling2d_5 (MaxPooling2 (None, 3, 3, 512) 0 _________________________________________________________________ conv2d_10 (Conv2D) (None, 1, 1, 1024) 4719616 _________________________________________________________________ conv2d_11 (Conv2D) (None, 1, 1, 512) 524800 _________________________________________________________________ flatten_1 (Flatten) (None, 512) 0 _________________________________________________________________ dense_1 (Dense) (None, 256) 131328 _________________________________________________________________ dropout_1 (Dropout) (None, 256) 0 _________________________________________________________________ dense_2 (Dense) (None, 30) 7710 ================================================================= Total params: 10,094,050 Trainable params: 10,090,208 Non-trainable params: 3,842 _________________________________________________________________