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.

The TensorFlow.js demos run surprisingly quickly in the browser on a machine with a GPU. TensorFlow Lite is an open source deep learning framework for on-device inference. It currently builds ...

However, running PyTorch on cloud services like AWS, Google Cloud, or Microsoft Azure incurs infrastructure costs. Depending on usage, GPU-based training can range from a few cents to hundreds of ...

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.

With the PyTorch machine learning framework now supported on its most powerful graphics cards, AMD is hoping to crack open access to AI workloads for users who don’t have the means or ...

In fact, the ability of PyTorch to automatically compute gradients is arguably one of the library's two most important features (along with the ability to compute on GPU hardware). To summarize, when ...

A preview build of PyTorch version 1.12 with GPU-accelerated training is available for Apple silicon Macs running macOS 12.3 or later with a native version of Python.

However, running PyTorch on cloud services like AWS, Google Cloud, or Microsoft Azure incurs infrastructure costs. Depending on usage, GPU-based training can range from a few cents to hundreds of ...