Unable to Replicate your expected results.

[shivamraj74]

Hello sir, for comparison purposes, we were trying to run your code but we were not able to replicate your expected results. Kindly resolve them.

We changed these lines due to error:
In SRCNN_predict_model():
c1 = Convolution2D(64, 9, 9, activation='relu',kernel_initializer=None, padding='same')(x)
c2 = Convolution2D(32, 1, 1, activation='relu',kernel_initializer=None, padding='same')(c1)
c3 = Convolution2D(1, 5, 5, kernel_initializer=None, padding='same')(c2)
same with the SRCNN_model():

removed input & output from here
model = Model(x, c4)

Still, we are getting the errors like:
ValueError: Dimensions must be equal, but are 2 and 72 for '{{node mean_squared_error/SquaredDifference}} = SquaredDifference[T=DT_FLOAT](model_13/subtract_1/sub, IteratorGetNext:1)' with input shapes: [?,2,1,1], [?,72,14,1].

Please look into this sir

[jiyoung2ya]

It's possible if you change model = Model(input=x, output=c4) to model = Model(inputs=x, outputs=c4)!