Machine Learning is one of the fastest growing areas of computer science, and Deep Learning (neural networks) is growing even faster, with lots of data and computing power at our fingertips. This talk is a practical (very little math) guide to computer vision and deep learning.
We will look at a deep learning project from start to finish, look at how to program and train a neural network and gradually refine it using some tips and tricks that you can steal for your future deep learning projects.
Tess is a developer working at Microsoft. She is equally happy debugging nasty back-end issues as she is developing web front-ends, apps or designing super nice User Interfaces. She has been blogging at http://blogs.msdn.microsoft.com/Tess for the better part of her career, and spoken at lots and lots of conferences around the world. You can also find her on twitter at @TessFerrandez
