Pytorch, Machine Learning, Gradient Descent, Python, Hands On Tutorials.
been handled by high-level Torch functions like optimizer.zero_grad(), loss.backward(), and optimizer.step(). To understand where we’re going next, we’ll need to visualize the journey our model is taking through the loss function. To visualize the loss, we’ll sample it in a grid of 101-by-101