University of Cambridge > Talks.cam > Mathematics and Machine Learning > Introduction and goals

Introduction and goals

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Damon Wischik.

I will start with a broad overview of what neural networks are, and how the back propagation training algorithm works, in theory and in practice. I will describe some interesting applications, some fascinating phenomena, and some neural network architectures I will finish by discussing the role that neural networks should play in data science, and ask what might come next.

For slides and code snippets, see the talk archive.

This talk is part of the Mathematics and Machine Learning series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2017 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity