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Fast Artificial Neural Network Library
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets.
This file gives an overview of the Python code for the algorithms in the textbook AI: A Modern Approach . The code is Copyright (c) 2002 by Peter Norvig and is offered free of charge for your use . As you may know, the textbook presents algorithms in pseudo-code format; as a supplement we provide this Python code as well as Lisp code . The intent is to implement all the algorithms in both languages, so that you can choose whichever language you prefer. As yet neither implementation is complete, but the Lisp version is closer.