(Note: This article about TensorFlow is also available as a free PDF download.) This cheat sheet is an easy way to get up to speed on TensorFlow. We’ll update this guide periodically when news ...

And almost all of these deep learning applications are written in one of three frameworks: TensorFlow, PyTorch, and JAX. Which of these deep learning frameworks should you use? In this article ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

TensorFlow, which emerged out of Google in 2015, has been the most popular open source deep learning framework for both research and business. But PyTorch, which emerged out of Facebook in 2016 ...

When it comes to deep learning frameworks, TensorFlow is one of the most preferred toolkits. However, one framework that is fast becoming the favorite of developers and data scientists is PyTorch.

This article will discuss the seven popular tools and frameworks used for developing AI applications: TensorFlow, PyTorch, Keras, Caffe, Microsoft Cognitive Toolkit, Theano and Apache MXNet.

Microsoft is stepping up its support for enterprise customers that are using Facebook's PyTorch deep-learning framework on the Microsoft Azure cloud. Microsoft has been contributing to the open ...