So today we are going to do something really awesome. Operationalize Keras with Azure Machine Learning. Why in the world would we want to do this? Well we can configure Deep Neural Nets and train them on GPU. In fact, in this article, we will train a 2 depth neural network which outputs a linear prediction of energy efficiency of buildings and then operationalize that GPU trained network on Azure Machine Learning for production API usage.
So today I have decided to actually begin a write up on where I’m headed. Its taken a long while to come up with what my next adventure after food trucks was going to be, especially with all of the things you can do with embedded technologies and machine learning. So here it is, a self driving race car.
In this article I aim to lay out the high level plan of attack for what my team and I are building and some of the direction on where we are headed.
This article is a high level discussion on where you might use various Microsoft Technologies in the field of robotics. I will begin with a side pet project I’m kicking off to get more familiar with some cool tools and tech I’ve lately discovered so I can hopefully get assigned to some really cool projects at work, including drones.