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 ...

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 ...

Most neural network libraries, including PyTorch, scikit and Keras, have built-in MNIST datasets. However, working with pre-built MNIST datasets has two big problems.

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

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.