基本信息

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   源码介绍

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encoder = input_data(shape=(None, IMAGE_INPUT_SIZE[0], IMAGE_INPUT_SIZE[1],3), data_preprocessing=img_prep) #encoder = input_data(shape=(None, IMAGE_INPUT_SIZE[0], IMAGE_INPUT_SIZE[1],3), data_preprocessing=img_prep)  encoder = conv_2d(encoder, 16, 7, activation='relu')
   encoder = dropout(encoder, 0.25) # you can have noisy input instead  encoder = max_pool_2d(encoder, 2)
   encoder = conv_2d(encoder, 16, 7, activation='relu')
   encoder = max_pool_2d(encoder, 2)
   encoder = conv_2d(encoder, 8, 7, activation='relu')
   encoder = max_pool_2d(encoder, 2)
   
   decoder = conv_2d(encoder, 8, 7, activation='relu')
   decoder = upsample_2d(decoder, 2)
   decoder = conv_2d(decoder, 16, 7, activation='relu')
   decoder = upsample_2d(decoder, 2)
   decoder = conv_2d(decoder, 16, 7, activation='relu')
   decoder = upsample_2d(decoder, 2)
   decoder = conv_2d(decoder, 3, 7)
   encoded_str = re.search(r', (.*)\)', str(encoder.get_shape)).group(1)