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.

The Data Science Lab Neural Regression Using PyTorch: Defining a Network Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete ...

Learn about the Network in Network architecture and its impact on improving performance in deep neural networks using PyTorch.

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 has already used a prototype of the Android Neural Network API that supports PyTorch to enable immersive 360-degree backgrounds on Messenger video calls.