Microsoft’s new tool makes it possible to use your own GPU to work with popular machine learning platforms.

Although it's possible to create a neural network using raw code, in most cases a better approach is to use a neural network code library. One of the most widely used neural code libraries is PyTorch.

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

A preview build of PyTorch version 1.12 with GPU-accelerated training is available for Apple silicon Macs running macOS 12.3 or later with a native version of Python.