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libfann-doc

API documentation for FANN

Variants:
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. It is easy to use, versatile, well documented, and fast. A Python binding is available, and bindings for PHP, C++, .NET, Delphi, Octave, Ruby, Pure Data and Mathematica can be downloaded from FANN's homepage.

This package contains the API documentation in HTML form and some introductory material in text form. It also contains examples for the library and the Python wrapper.

Homepage:
Package version:2.1.0~beta~dfsg-8
Architecture:all
Distribution:Debian
Filename:libfann-doc_2.1.0~beta~dfsg-8_all.deb

/usr/share/doc/libfann-doc/examples/README

README
---------

To compile and run these tests, you need to be in a directory for which you
have write permission (for example the /tmp directory).

Note that some of these tests have interdependencies. Specifically, for all
tests <NAME>_test.c, you have to run <NAME>_train.c first.

Available Tests are:
    xor_train
    xor_test
    simple_train
    simple_test 
    scaling_train
    scaling_t
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/usr/share/doc/libfann-doc/changelog.Debian.gz

libfann (2.1.0~beta~dfsg-8) unstable; urgency=low

  * debian/control:
    - Build-Depend on swig (>= 2.0.4-2) instead of swig2.0; the former has now
      taken over the /usr/bin/swig symlink. Closes: #634430

 -- Christian Kastner <debian@kvr.at>  Thu, 11 Aug 2011 00:46:29 +0200

libfann (2.1.0~beta~dfsg-7) unstable; urgency=low

  * debian/rules:
    - Convert debian/rules to regular syntax. By
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/usr/share/doc/libfann-doc/changelog.gz

libfann (2.1.0) stable; urgency=low
	* Added fann_create_train_from_callback for creating training data from a callback function
	* Amended fann_create_train_from_callback for dynamic link library compatibility
	* Added fann_get_activation_function and fann_get_activation_steepness matching the set functions
	* Added a set of functions to allow restricted access to neural network layout, connectio
more»

/usr/share/doc/libfann-doc/copyright

Format-Specification: http://svn.debian.org/wsvn/dep/web/deps/dep5.mdwn?op=file&rev=173
Upstream-Nam
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