Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, ... Deep neural networks built on a tape-based autograd system.

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 ...

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.

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 between ...

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 ...

The first step when designing a PyTorch neural network class for a regression problem is to determine its architecture. Neural architecture design includes the number of input and output nodes, the ...