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Learning PyTorch deep learning If you’re looking to learn PyTorch, I think your best bet is to work through both the Fast.ai course and one of the more traditional courses at the same time.
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.
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.
PyTorch, launched a little over a year ago, was created largely by Facebook’s AI research group as a machine learning library of functions for the programming language Python.
What is PyTorch? PyTorch is a deep learning framework designed to simplify AI model development. First released by Meta AI, it was built to improve the flexibility of deep learning research.
IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training.
With the update to PyTorch Lightning, and the introduction of Lightning Fabric, Lightning AI is now offering users an extensive array of training options for their machine learning models.
The open-source PyTorch project is widely used for machine learning (ML) training. Its anticipated 2.0 version is now generally available.
Microsoft today announced PyTorch Enterprise, a new Azure service that provides developers with additional support when using PyTorch on Azure.
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