Pytorch, Torch, Torchvision, Deep Learning, Python.
torch.normal(mean=torch.arange(5., 15.), std=torch.arange(1, 0, -0.1)) w = torch.ones([1]) b = torch.ones([1]) out = model(x=x, y=y, b=b, w=w, eta=0.2) print(out.loss(w)) >> tensor(12.2774) As I promised in the introduction, I will interpret each result. Here we can see the error is pretty small