Deep learning continues to be one of the hottest fields in computing, and while Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a ...

Learn how Intersection over Union (IoU) works and how to implement it step-by-step using PyTorch. This guide covers ...

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 ...

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 multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...

For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights. Using a mix of PyTorch, a ...

Dr. James McCaffrey of Microsoft Research kicks off a four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values. The goal of ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Since it launched in 2017, Facebook's machine-learning framework PyTorch has been put to good use, with applications ranging from powering Elon Musk's autonomous cars to driving robot-farming projects ...