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

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Introduction and goals

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.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

British Antarctic Survey The Theatre, Peterhouse College The Bateman Auditorium, Gonville & Caius College, Cambridge

Other talks

Title to be confirmed Title and abstract tba Favourite Plants: the common, the captivating, and the curious Organiser Welcome The Play Paradox: How video games build better humans Afternoon Break
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity