I have to create a model which has 3 parallel CNNs network. An image is fed into all the 3 networks and finally the outputs of the three networks are concatenated.
Can I model this if I define all the CNN networks in different classes?
nn.sequential can work for this if I define 3 different layers in the same class and concatenate them in forward method.
But I want to know if I can model such networks in three different classes and finally concatenate them when I train them? Will there be a problem in backpropogation?
Thanks. !