Understand how Intersection over Union (IoU) works and how to implement it using PyTorch. This metric is essential for ...

In the early days of PyTorch, you had to write completely custom code for data loading. Now however, the vast majority of PyTorch systems I've seen (and created myself) use the PyTorch Dataset and ...

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 ...

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.

For this reason, I wouldn’t recommend using the PyTorch website as your primary resource for learning. Nevertheless, it’s a useful resource to have on hand — and the best place to learn how ...

Learn how to install PyTorch open-source machine learning library in Windows &enhance your deep learning for AI & machine learning projects.

Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

Microsoft today announced PyTorch Enterprise, a new Azure service that provides developers with additional support when using PyTorch on Azure. It’s basically Microsoft’s commercial support ...

AstraZeneca is using PyTorch-powered algorithms to discover new drugs The pharmaceutical firm has revealed how it is using sophisticated machine-learning tools to speed up drug discovery.