def Res_block():
_input = Input(shape=(None, None, 64))
conv = Conv2D(filters=64, kernel_size=(3, 3), strides=(1, 1), padding='same', activation='relu')(_input)
conv = Conv2D(filters=64, kernel_size=(3, 3), strides=(1, 1), padding='same', activation='linear')(conv)
out = add(inputs=[_input, conv])
out = Activation('relu')(out)
model = Model(inputs=_input, outputs=out)
return model
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