When using OpenShift, you get to skip all the hassle of building, configuring or maintaining your application environment.

Over the course of this series, you'll learn the basics of Tensorflow, machine learning, neural networks, and deep learning in a container-based environment.īefore we get started, I need to call out one of my favorite things about OpenShift. So now, the question is, how do we work with all this information and how to we create value from it? Through machine learning and artificial intelligence, you - yes you - can tap into data and generate genuine, insightful value from it. While impressive, data is useless unless you actually do something with it. In fact, mankind is estimated to create 44 zettabytes (that's 44 trillion gigabytes, ladies and gentlemen) of data by 2020. But there is at least one thing that will stick around, data.

Think about this: what's something that exists today that will still exist 100 years from now? Better yet, what do you use on a daily basis today you think will be utilized as frequently 100 years from now? Suffice to say, there isn't a whole lot out there with that kind of longevity.

Tensorboard docker on mac