Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

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 ...

How to use PyTorch At the heart of PyTorch are tensors, which are similar to advanced arrays that you might be familiar with from NumPy, but with the added capability of running on GPUs.

The Data Science Lab 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 ...

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.

Positive and Unlabeled Learning (PUL) Using PyTorch Dr. James McCaffrey of Microsoft Research provides a code-driven tutorial on PUL problems, which often occur with security or medical data in cases ...

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