What are some good resources for learning about Artificial Neural Networks? [closed]

Answer 1

If you don't mind spending money, The Handbook of Brain Theory and Neural Networks is very good. It contains 287 articles covering research in many disciplines. It starts with an introduction and theory and then highlights paths through the articles to best cover your interests.

As for a first project, Kohonen maps are interesting for categorization: find hidden relationships in your music collection, build a smart robot, or solve the Netflix prize.

Answer 2

Programming Collective Intelligence discusses this in the context of Search and Ranking algorithms. Also, in the code available here (in ch.4), the concepts discussed in the book are illustrated in a Python example.

Answer 3

I'd highly recommend this excellent series by Anoop Madhusudanan on Code Project.

He takes you through the fundamentals to understanding how they work in an easy to understand way and shows you how to use his brainnet library to create your own.

Answer 4

Raul Rojas' book is a a very good start (it's also free). Also, Haykin's book 3rd edition, although of large volume, is very well explained.

Answer 5

Here are some example of Neural Net programming. http://www.codeproject.com/KB/recipes/neural_dot_net.aspx

you can start reading here: http://web.archive.org/web/20071025010456/http://www.geocities.com/CapeCanaveral/Lab/3765/neural.html

I for my part have visited a course about it and worked through some literature.

Answer 6

I think a good starting point would always be Wikipedia. There you'll find some usefull links to documentations and projects which use neural nets, too.