Autograd: Automatic Differentiation Understanding Autograd: PyTorch’s autograd system automatically calculates gradients—an essential feature for training neural networks.

The demo program uses the simplest possible training optimization technique which is stochastic gradient descent (SGD). Understanding all the details of PyTorch optimizers is extremely difficult.

The demo program uses the Adam ("adaptive momentum") training optimizer. Adam often works better than basic SGD ("stochastic gradient descent") for regression problems. PyTorch 1.7 supports 11 ...

Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability ...