Here’s an article about the latest PyTorch release.

Facebook AI Research announced the release of PyTorch 1.1. The latest version of the open-source deep learning framework includes improved performance via distributed training, new APIs, and new visualization tools including native support for TensorBoard. In a recent blog post, the Facebook team highlighted several improvements to the framework […]

This article from Analytics India Magazine lists 10 comparisons between the two top deep learning frameworks: PyTorch and TensorFlow.

Libraries play an important role when developers decide to work in machine learning or deep learning researches. According to this article, a survey based on a sample of 1,616 ML developers and data scientists, for every one developer using PyTorch, there are 3.4 developers using TensorFlow.

ONNX is a open format to represent deep learning models that is supported by various frameworks and tools. This format makes it easier to interoperate between frameworks and to maximize the reach of your hardware optimization investments

In this episode, Seth Juarez (@sethjuarez) sits with Rich to show us how we can use the ONNX runtime inside of our .NET applications. He gives us a quick introduction to training a model with PyTorch, and also explains some foundational concepts around prediction accuracy.

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