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 ...

There are several classical statistics techniques for regression problems. Neural regression solves a regression problem using a neural network. This article is the second in a series of four articles ...

You won’t learn anything about generative adversarial networks (GANs) or Transformer-based networks in either course, and the Udacity course is based on PyTorch 0.4.

As neural networks scale to dozens of layers and billions of parameters, Facebook offers greater parallelism for models with PyTorch 1.1.

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.