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@michelkana
Created July 18, 2019 22:46
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from keras.layers import Input, Dense, Conv2D, MaxPooling2D, UpSampling2D
from keras.models import Model
nb_filter = 32
kernel_size = 3
x = Conv2D(nb_filter, (kernel_size, kernel_size), activation='relu', padding='same')(input_img)
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