model

model.py

def fun_column(x,output):
    x = Conv2D(128, (1, 1), activation = 'relu', name='conv7_column')(x)
    x = Dropout(0.8, name='block7_dropout_1')(x)
    concatenated = Concatenate()([x,output])
    concatenated = Concatenate()([concatenated,output])
    x = UpSampling2D(size=(2, 2))(concatenated)
    x = UpSampling2D(size=(2, 2))(x)
    x = UpSampling2D(size=(2, 2))(x)
    x = UpSampling2D(size=(2, 2))(x)

    last = tf.keras.layers.Conv2DTranspose(3, 3, strides=2,padding='same', name='column_output')     
    x = last(x)
    return x