Neural Networks Warehouse
Getting a book is probably the single most important thing to do if you're serious about Neural Networks. This section has a detailed list of the best books available, with a description so you know what to expect from them.
Online resources like tutorials are available by the truck-load. Some are good, some are not so good, but all try to teach you the concepts behind Neural Networks. This section has a consequent list of online guides. The articles are sorted by skill.
Libraries are for the programmer. They have an interface to a common programming language, allowing the user to simply work with Neural Networks. Some include source code, some don't. Some are commercial, some aren't. Our collection of libraries available covers a wide selection of programming languages.
This section is dedicated to computer applications that can model and simulate Neural Networks. Graphical interfaces are sometimes provided, or this can be done via a command line tool. This page contains an exhaustive list of references to such software.
Over the course of time, many demos have been released applying Neural Networks to a multitude of different fields. This page attempts to list such programs, java applets, and online demos that feature Neural Networks.
If you're interested in advancing the field via research rather than applications, or if you're simply interested in finding out how active the field is, this page will tell you were to study as a graduate or post-graduate and what companies are dedicated Neural Networks research.
In this part of the warehouse, you'll find links to important papers about Neural Networks that have shaped the field. Some rely fairly heftily on maths, and some are more accessible. Either way, these are an essential read if you've got your mind set on the top.
There are numerous fields that can benefit from a Neural Networks based solution. This part of the site attempts to list describe their use in these contexts, ranging from Medicine to Quality Control.
Interesting articles to read about Neural Networks. Visit this page for a more philosophical approach to the field, but also more subjective.