PyTorch Mobile for iOS and Android devices launched last fall as part of the rollout of PyTorch 1.3, with speed gains coming from quantization, Google TPU support, and a JIT compiler upgrade.

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

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

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 ...

Use PyTorch if You should use PyTorch if you are a machine learning researcher or AI engineer who values flexibility and a Python-friendly interface.