Last October we announced our generally consumable DirectML backend for TensorFlow 1.15. Since then, our team worked to bring machine learning training acceleration to TensorFlow 2. Today, we are happy to announce the release of our DirectML PluggableDevice preview package for TensorFlow on PyPI. Alongside our release, we are excited to announce ...
Support for GPU accelerated machine learning (ML) training within the Windows Subsystem for Linux (WSL) is now broadly available with the release of Windows 11. Read on for more details about using WSL with your existing ML workflows.
Learn about the first generally consumable package of TensorFlow-DirectML. TensorFlow-DirectML improves the experience and performance of model training through GPU acceleration on the breadth of Windows devices by working across different hardware vendors and supporting the needs of students’ and professionals’ workflows.
Windows AI platform team has recently added new tutorials to the Windows ML documentation providing a great introductory experience to machine learning, showing you how to create machine learning models from scratch and integrate them with applications running on Windows devices.
Learn about the easiest way to get GPU acceleration for Jupyter Notebooks on Windows 10 and WSL.
