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.