Pytorch, Torch, Torchvision, Deep Learning, Python.
value in two epochs and print the gradients of the weight concerning different losses. X = [12., 13., 14.] Y = [15., 16., 17.] w = Variable(torch.FloatTensor([1.]), requires_grad=True) example = model(w) for epoch in range(2): for x, y in zip(X, Y): loss = example.loss_(x, y) loss.backward()