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 ...

Dr. James McCaffrey of Microsoft Research provides a full code sample and screenshots to explain how to create and use PyTorch Dataset and DataLoader objects, used to serve up training or test data in ...

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.

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.

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 ...

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.

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

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