In this tutorial, we’ll dive into the basics of running PyTorch on Linux, from installation to creating and training a simple neural network that can recognize digits.

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

The multi-class neural network classifier is implemented in a program-defined Net class. The Net class inherits from the built-in torch.nn.Module class which supplies most of the network functionality ...

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 ...

Facebook and Microsoft announced ONNX, the Open Neural Network Exchange this morning in respective blog posts. The Exchange makes it easier for machine learning developers to convert models ...

A subcategory of machine learning, deep learning uses multi-layered neural networks to automate historically difficult machine tasks—such as image recognition, natural language processing (NLP ...

This article assumes you have a basic familiarity with Python and intermediate or better experience with a C-family language but does not assume you know much about PyTorch or neural networks. The ...