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專案描述

Fast Artificial Neural Network Library is a neural network library that 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. It is easy to use, versatile, well documented, and fast. C++, Perl, PHP, .NET, Python, Delphi, Octave, Pure Data, and Mathematica bindings are available. A reference manual accompanies the library with examples and recommendations on how to use the library. A graphical user interface is also available for the library.

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2011-10-07 23:08 Back to release list
2.1.0

This release changes the create_array functions to indicate that the layer's array parameter is const (i.e., input only), adds a documented C++ wrapper and sample C++ program, and adds many more changes.
標籤: Major feature enhancements

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