I have been working to learn more on machine learning.  Aside from the Microsoft technologies, which are very nice, I see a lot going on with TensorFlow.  
Here is a quick overview video I found.
 

TensorFlow in 5 Minutes
I just want to start off by saying thank you to every single one of you. Thanks for watching and commenting and sticking with me as I push these videos every week. You guys are the reason I do this.

This video is all about building a handwritten digit image classifier in Python in under 40 lines of code (not including spaces and comments). We’ll use the popular library TensorFlow to do this.

The source code for this video is here:
https://github.com/llSourcell/tensorflow_demo

Here are some great links on TensorFlow:

Tensorflow setup: https://www.tensorflow.org/versions/r0.10/get_started/os_setup.html#pip-installation

A similar written tutorial by Google:
https://www.tensorflow.org/versions/r0.9/tutorials/mnist/beginners/index.html

Tensorflow Course:
https://www.udacity.com/course/deep-learning–ud730

Awesome intro to Tensorflow:
https://www.oreilly.com/learning/hello-tensorflow

Some other great introductory examples using Tensorflow:
https://github.com/aymericdamien/TensorFlow-Examples

I recently created a Patreon page. If you like my videos, feel free to help support my effort here!:
https://www.patreon.com/user?ty=h&u=3191693

Much more to come so please subscribe, like, and comment.
via YouTube https://youtu.be/2FmcHiLCwTU

About the author

Brent is Principal Technology Strategist at Stone Technologies where he works with clients to develop manufacturing technology strategies that help them meet their business objectives. He believes that a cohesive technology strategy is a fundamental way to enable information to flow to the people that need it, enabling decision making backed with accurate information. Manufacturing adds some unique requirements to IT, and as a consultant, solution architect, and solution implementer, Brent works with clients to bring the capabilities of IT to the plant floor as a means to enable the manufacturing experts to be aware of manufacturing performance, and have the necessary information to make informed operational decisions.

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