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Model: "functional_1"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_tensor (InputLayer) [(None, 256, 256, 1) 0
__________________________________________________________________________________________________
conv2d (Conv2D) (None, 256, 256, 32) 320 input_tensor[0][0]
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 256, 256, 32) 128 conv2d[0][0]
__________________________________________________________________________________________________
activation (Activation) (None, 256, 256, 32) 0 batch_normalization[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 256, 256, 32) 9248 activation[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 256, 256, 32) 128 conv2d_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 256, 256, 32) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 128, 128, 32) 0 activation_1[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 128, 128, 64) 18496 max_pooling2d[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 128, 128, 64) 256 conv2d_2[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 128, 128, 64) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 128, 128, 64) 36928 activation_2[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 128, 128, 64) 256 conv2d_3[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 128, 128, 64) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 64, 64, 64) 0 activation_3[0][0]
__________________________________________________________________________________________________
dropout (Dropout) (None, 64, 64, 64) 0 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 64, 64, 128) 73856 dropout[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 64, 64, 128) 512 conv2d_4[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 64, 64, 128) 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 64, 64, 128) 147584 activation_4[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 64, 64, 128) 512 conv2d_5[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 64, 64, 128) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
max_pooling2d_2 (MaxPooling2D) (None, 32, 32, 128) 0 activation_5[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout) (None, 32, 32, 128) 0 max_pooling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 32, 32, 256) 295168 dropout_1[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 32, 32, 256) 1024 conv2d_6[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 32, 32, 256) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 32, 32, 256) 590080 activation_6[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 32, 32, 256) 1024 conv2d_7[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 32, 32, 256) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
max_pooling2d_3 (MaxPooling2D) (None, 16, 16, 256) 0 activation_7[0][0]
__________________________________________________________________________________________________
dropout_2 (Dropout) (None, 16, 16, 256) 0 max_pooling2d_3[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 16, 16, 512) 1180160 dropout_2[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 16, 16, 512) 2048 conv2d_8[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 16, 16, 512) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 16, 16, 512) 2359808 activation_8[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 16, 16, 512) 2048 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 16, 16, 512) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
dropout_3 (Dropout) (None, 16, 16, 512) 0 activation_9[0][0]
__________________________________________________________________________________________________
up_sampling2d (UpSampling2D) (None, 32, 32, 512) 0 dropout_3[0][0]
__________________________________________________________________________________________________
concatenate (Concatenate) (None, 32, 32, 768) 0 up_sampling2d[0][0]
activation_7[0][0]
__________________________________________________________________________________________________
conv2d_transpose (Conv2DTranspo (None, 32, 32, 256) 1769728 concatenate[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 32, 32, 256) 1024 conv2d_transpose[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 32, 32, 256) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
conv2d_transpose_1 (Conv2DTrans (None, 32, 32, 256) 590080 activation_10[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 32, 32, 256) 1024 conv2d_transpose_1[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 32, 32, 256) 0 batch_normalization_11[0][0]
__________________________________________________________________________________________________
dropout_4 (Dropout) (None, 32, 32, 256) 0 activation_11[0][0]
__________________________________________________________________________________________________
up_sampling2d_1 (UpSampling2D) (None, 64, 64, 256) 0 dropout_4[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 64, 64, 384) 0 up_sampling2d_1[0][0]
activation_5[0][0]
__________________________________________________________________________________________________
conv2d_transpose_2 (Conv2DTrans (None, 64, 64, 128) 442496 concatenate_1[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 64, 64, 128) 512 conv2d_transpose_2[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 64, 64, 128) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_transpose_3 (Conv2DTrans (None, 64, 64, 128) 147584 activation_12[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 64, 64, 128) 512 conv2d_transpose_3[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 64, 64, 128) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
up_sampling2d_2 (UpSampling2D) (None, 128, 128, 128 0 activation_13[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 128, 128, 192 0 up_sampling2d_2[0][0]
activation_3[0][0]
__________________________________________________________________________________________________
conv2d_transpose_4 (Conv2DTrans (None, 128, 128, 64) 110656 concatenate_2[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 128, 128, 64) 256 conv2d_transpose_4[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 128, 128, 64) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
conv2d_transpose_5 (Conv2DTrans (None, 128, 128, 64) 36928 activation_14[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 128, 128, 64) 256 conv2d_transpose_5[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 128, 128, 64) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
up_sampling2d_3 (UpSampling2D) (None, 256, 256, 64) 0 activation_15[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate) (None, 256, 256, 96) 0 up_sampling2d_3[0][0]
activation_1[0][0]
__________________________________________________________________________________________________
conv2d_transpose_6 (Conv2DTrans (None, 256, 256, 32) 27680 concatenate_3[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 256, 256, 32) 128 conv2d_transpose_6[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 256, 256, 32) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_transpose_7 (Conv2DTrans (None, 256, 256, 32) 9248 activation_16[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 256, 256, 32) 128 conv2d_transpose_7[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 256, 256, 32) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 256, 256, 1) 33 activation_17[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 256, 256, 1) 0 conv2d_10[0][0]
==================================================================================================
Total params: 7,857,857
Trainable params: 7,851,969
Non-trainable params: 5,888
__________________________________________________________________________________________________