TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

If you are interested in pursuing a career in AI and don't know where to start, here's your go-to guide for the best programming languages and skills to learn, interview questions, salaries and more.

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Machine learning relies on algorithms that “learn” from past examples, thereby relieving the programmer from having to write lines of code to deal with every eventuality.

TensorFlow played a crucial role in the growth of machine learning and artificial intelligence. Thank you TensorFlow for enabling and empowering developers, and wish you a happy anniversary!

With this week's release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions.

TensorFlow Lite is an open-source deep learning framework for on-device inference. The new tool is designed to adapt machine learning models to datasets with transfer learning.

Prerequisites Azure ML Studio takes a modular, drap-and-drop approach to machine learning. Using Machine Learning Studio can be easier than programming a library such as Google TensorFlow or ...

Conclusion Exploring machine learning with TensorFlow on Ubuntu opens a world of possibilities. Whether you're a beginner or an experienced practitioner, the combination of TensorFlow's powerful ...

Google's new and improved machine learning platform could change how we use the internet -- and now anybody can contribute.