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 ...

If you are interested in building AI powered applications PyTorch is definitely worth checking out if Deep Learning something you would ...

If you’re new to deep learning, I suggest that you start by going through the tutorials for Keras in TensorFlow 2 and fastai in PyTorch.

Everything you need to know about PyTorch, the world's fastest-growing AI project that started at Facebook and powers research at Tesla, Uber, and Genentech ...

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.

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...

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 ...

IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training.

The latest version of Facebook's open source deep learning library PyTorch comes with quantization, named tensors, and Google Cloud TPU support.

Thanks to Facebook and Microsoft, PyTorch is on its way to becoming the preferred framework for building sophisticated AI models for the cloud, desktop and mobile.