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 ...

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

For PyTorch multi-class classification you must encode the variable to predict using ordinal encoding. The demo sets conservative = 0, moderate = 1 and liberal = 2.

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.

Regression Using PyTorch, Part 1: New Best Practices Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and ...

What is PyTorch? PyTorch is a deep learning framework designed to simplify AI model development. First released by Meta AI, it was built to improve the flexibility of deep learning research.

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...

Is PyTorch better than TensorFlow for general use cases? This question was originally answered on Quora by Roman Trusov.

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.