Hi I am trying to understand fundamentals of PyTorch and ML and I want to ask you.
For example lets think code like this -
I create x and put that x into linear layer. What is happening with this x ?
When I print y it is equal to some random numbers.
Can someone give me hint about this ? And maybe when should I use lienar layer ?
x = torch.randn((2, 2))
in_features = 2
out_features = 16

m = torch.nn.Linear(in_features, out_features)

y = m(x)