Hello everyone,
How to combine two models parameter of two different datasets to generate one model like :
class NetworkA(nn.Module):
    def __init__(self, Input, Output):
        super(NetworkA, self).__init__()
    def forward(self, x):
        return x

class NetworkB(nn.Module):
    def __init__(self, Input, Output):
        super(NetworkB, self).__init__()
    def forward(self, x):
        return x

In the Training Step combine the two parameters , then, for Testing i use only the combined resulted model.
Any suggestion, ideas would be much appreciated.