In (def shef 34) we looked at the basic components of a neural network, and the group was interested in doing more with this topic.

Details TBC, but we're going to take a more structured look at neural network implementation in a functional style with the goal of having a working network that can learn something by the end of the session.

Attendance of the previous session won't be necessary. We're happy to help beginners in machine learning or functional programming!