How to Create and Use a PyTorch DataLoader. Dr. James McCaffrey of Microsoft Research provides a full code sample and screenshots to explain how to create and use PyTorch Dataset and DataLoader ...

PyTorch is celebrated for its dynamic computational graph that allows for flexible model architectures, and its speed in processing artificial neural networks. It’s widely used in both academic ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...

Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep learning and computer vision.

skorch. skorch is a scikit-learn compatible neural network library that wraps PyTorch. The goal of skorch is to make it possible to use PyTorch with sklearn. If you are familiar with sklearn and ...

PyTorch provides a set of abstractions and features that can help build more complex models, with support for tensors and neural networks. Tensors make it easy to work with large multidimensional ...

As neural networks scale to dozens of layers and billions of parameters, Facebook offers greater parallelism for models with PyTorch 1.1. Written by Tiernan Ray, Senior Contributing Writer May 1 ...