_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
conv1 (Conv2D) (None, 112, 112, 32) 896
_________________________________________________________________
activation_1 (Activation) (None, 112, 112, 32) 0
_________________________________________________________________
conv2 (Conv2D) (None, 112, 112, 32) 9248
_________________________________________________________________
batch_normalization_1 (Batch (None, 112, 112, 32) 128
_________________________________________________________________
activation_2 (Activation) (None, 112, 112, 32) 0
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 56, 56, 32) 0
_________________________________________________________________
dropout_1 (Dropout) (None, 56, 56, 32) 0
_________________________________________________________________
conv3 (Conv2D) (None, 56, 56, 64) 18496
_________________________________________________________________
activation_3 (Activation) (None, 56, 56, 64) 0
_________________________________________________________________
batch_normalization_2 (Batch (None, 56, 56, 64) 256
_________________________________________________________________
conv4 (Conv2D) (None, 56, 56, 64) 36928
_________________________________________________________________
activation_4 (Activation) (None, 56, 56, 64) 0
_________________________________________________________________
max_pooling2d_2 (MaxPooling2 (None, 28, 28, 64) 0
_________________________________________________________________
dropout_2 (Dropout) (None, 28, 28, 64) 0
_________________________________________________________________
batch_normalization_3 (Batch (None, 28, 28, 64) 256
_________________________________________________________________
conv5 (Conv2D) (None, 28, 28, 64) 36928
_________________________________________________________________
activation_5 (Activation) (None, 28, 28, 64) 0
_________________________________________________________________
batch_normalization_4 (Batch (None, 28, 28, 64) 256
_________________________________________________________________
conv6 (Conv2D) (None, 28, 28, 64) 36928
_________________________________________________________________
activation_6 (Activation) (None, 28, 28, 64) 0
_________________________________________________________________
up_sampling2d_1 (UpSampling2 (None, 56, 56, 64) 0
_________________________________________________________________
dropout_3 (Dropout) (None, 56, 56, 64) 0
_________________________________________________________________
batch_normalization_5 (Batch (None, 56, 56, 64) 256
_________________________________________________________________
conv7 (Conv2D) (None, 56, 56, 32) 18464
_________________________________________________________________
activation_7 (Activation) (None, 56, 56, 32) 0
_________________________________________________________________
batch_normalization_6 (Batch (None, 56, 56, 32) 128
_________________________________________________________________
conv8 (Conv2D) (None, 56, 56, 32) 9248
_________________________________________________________________
activation_8 (Activation) (None, 56, 56, 32) 0
_________________________________________________________________
up_sampling2d_2 (UpSampling2 (None, 112, 112, 32) 0
_________________________________________________________________
dropout_4 (Dropout) (None, 112, 112, 32) 0
_________________________________________________________________
batch_normalization_7 (Batch (None, 112, 112, 32) 128
_________________________________________________________________
conv9 (Conv2D) (None, 112, 112, 3) 867
=================================================================
Layer (type) Output Shape Param #
=================================================================
conv1 (Conv2D) (None, 112, 112, 32) 896
_________________________________________________________________
activation_1 (Activation) (None, 112, 112, 32) 0
_________________________________________________________________
conv2 (Conv2D) (None, 112, 112, 32) 9248
_________________________________________________________________
batch_normalization_1 (Batch (None, 112, 112, 32) 128
_________________________________________________________________
activation_2 (Activation) (None, 112, 112, 32) 0
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 56, 56, 32) 0
_________________________________________________________________
dropout_1 (Dropout) (None, 56, 56, 32) 0
_________________________________________________________________
conv3 (Conv2D) (None, 56, 56, 64) 18496
_________________________________________________________________
activation_3 (Activation) (None, 56, 56, 64) 0
_________________________________________________________________
batch_normalization_2 (Batch (None, 56, 56, 64) 256
_________________________________________________________________
conv4 (Conv2D) (None, 56, 56, 64) 36928
_________________________________________________________________
activation_4 (Activation) (None, 56, 56, 64) 0
_________________________________________________________________
max_pooling2d_2 (MaxPooling2 (None, 28, 28, 64) 0
_________________________________________________________________
dropout_2 (Dropout) (None, 28, 28, 64) 0
_________________________________________________________________
flatten_1 (Flatten) (None, 50176) 0
_________________________________________________________________
dense1 (Dense) (None, 512) 25690624
_________________________________________________________________
activation_5 (Activation) (None, 512) 0
_________________________________________________________________
batch_normalization_3 (Batch (None, 512) 2048
_________________________________________________________________
dropout_3 (Dropout) (None, 512) 0
_________________________________________________________________
dense2 (Dense) (None, 3) 1539
_________________________________________________________________
activation_6 (Activation) (None, 3) 0
=================================================================