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.

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 ...

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 ...

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 ...

We are ready to start with you a journey towards unveiling the mysteries of nature, sharing and integrating ideas from ABC and Deep Learning.

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 ...

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.

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 ...