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 ...

Understand how Intersection over Union (IoU) works and how to implement it using PyTorch. This metric is essential for ...

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.

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

Shifting PyTorch into high gear for faster training In addition to the code improvements in PyTorch, IBM has also worked to enable the open-source Red Hat OpenShift Kubernetes platform to support ...