Hi,
That was one of the video’s that I had already seen.
It explains how it works very well.
But does not what it means.
Why is my gradient 1 when I do a backward operation on y:
y = x + torch.randn(1
Where
x = Variable(torch.tensor([2.]), requires_grad=True)
Regards Hans-Peter