The goal of a regression problem is to predict a single numeric value, for example, predicting the annual revenue of a new restaurant based on variables such as menu prices, number of tables, location ...

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

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 ...