All releases of Neural Network Framework

  •  07 Jun 2008 10:39
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    Release Notes: A C binding has been implemented.

    •  31 May 2008 08:54
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      Release Notes: Two annoying bugs with saving neural networks to XML files were resolved.

      •  13 May 2008 16:12
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        Release Notes: Saving of RealMat matrices on XML has been made prettier. Two activation functions were added: GainFunction and LogLikeFunction. A skipList parameter were added to the saveXML function in order to allow choosing of which tag to skip during saving.

        •  22 Apr 2008 09:17
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          Release Notes: Bugs in Windows compilation and installation were fixed.

          •  11 Apr 2008 17:35
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            Release Notes: Bugs in Random::flatInt() (when GSL is not used) and in BaseNeuralNet::randomize were fixed in this release. The Mac OS X installer doesn't require QT anymore.

            •  10 Apr 2008 13:52
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              Release Notes: Various changes were made in the BaseNeuralNet interface. The SimpleTimer class was added. The LearningAlgorithm interface was improved, and Pattern and PatternSet classes were added for easy creation of Learning and Testing sets. Various output functions were added. The possibility to choose the precision was added when saving on XML files. The documentation was improved. The library is now also built as a Mac OS framework bundle.

              •  06 Mar 2008 18:21
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                Release Notes: This release resolves an inconsistency in saving the 'mode' property of CopyLinker on XML files.

                •  06 Mar 2008 13:27
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                  Release Notes: Two bugs in parsing the CopyLinker tag in the XML file were resolved.

                  •  05 Mar 2008 13:34
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                    Release Notes: Momentum and methods were added for modifying the learning rate, and momentum was added to the Backpropagation algorithm.

                    •  22 Feb 2008 14:29
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                      Release Notes: This release adds FindNNFW.cmake and NNFWConfig.cmake for configuring CMake projects using the FIND_PACKAGE(NNFW) and TARGET_USE_NNFW() macros. It improves the nnfw-config script, eliminating unnecessary flags and making it print the configuration used during library compilation.

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