Beginner-level tutorials for a powerful framework.
Google's recently released TensorFlow library has caused great waves in machine learning circles, with its powerful syntax that allows for distributed computation, improved efficiency, and modularisation. The framework allows you to build graph-based models, such as those used in machine learning and artificial intelligence, and have those models run on a distributed computing systems, including GPUs.
At this site, we have a collection of short tutorials designed to teach the concepts and usage to beginners. The goal is to introduce TensorFlow without the data mining component, allowing you to focus on learning the framework and not needing to learn about data mining techniques at the same time. Let us know at email@example.com if you found the material useful, any struggles you had, or any new content you'd like to see included. Our content is always expanding, and if you email us and ask, we can email you directly when we add a new tutorial.
Also Watch my talk on Tensorflow from Pycon 2016 here
You can also sign up for our newsletter to learn more about data analysis applications and techniques for businesses, which will include any new information about this website.