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72 lines
2.3 KiB
Text
72 lines
2.3 KiB
Text
--- Release 0.4 ---
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2009-08-16 BlackLight <blacklight@autistici.org>
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* all: Now it *REALLY* supports multiple output values, i.e. multiple
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neurons, in the output layer.
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Oh, and I've fixed too that nasty bug that made training from sets
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containing more than a single training set.
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* neuron.cpp: Fixing propagate() function
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2009-08-15 BlackLight <blacklight@autistici.org>
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* Makefile: Now you compile Neural++ with -Wall -pedantic
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-pedantic-errors -ansi. And you won't get a single error. I love writing
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pedantic, pure ISO C++ code...
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* all: Hey I can't believe it guys, I've fixed that horrible bug an
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neural output won't diverge anymore ^^
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Also removed the 'deriv' parameter, as function pointer. It was just
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useless, as once you have an activation function, you can compute its
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derivate in any points. But, of course, this makes old codes no more
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compatible with this new version.
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--- Release 0.3 ---
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2009-08-09 BlackLight <blacklight@autistici.org>
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* Makefile: Totally changed
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* neural++.hpp: Changed header name, added BETA0 macro
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* synapsis.cpp: Added momentum() method to compute the inertial momentum
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of a synapsis
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* all: Data type changed from float to double for everything,
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fixing neuralpp namespace, fixed indentation, fixed exception throwing,
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fixed documentation
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--- Release 0.2.2 ---
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2008-11-04 BlackLight <blacklight@autistici.org>
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* all: Added initXML(), XMLFromSet() and closeXML() methods to auto-
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generate training XML.
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train() method can now get XML both from a file and from a simple string.
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--- Release 0.2.1 ---
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2008-10-22 BlackLight <blacklight@autistici.org>
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* all: Added `train()` method to NeuralNet class, that allows you to
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train a neural network using an XML containing pre-saved training
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sets (input values, expected output). See examples/adder.xml for an
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example of such XML.
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--- Release 0.2 ---
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2008-10-12 BlackLight <blacklight@autistici.org>
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* all: Added `save()` method to NeuralNet class, that allows you to
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save a trained neural network to a binary file, to load anytime you
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need using NeuralNet(const char *fname) constructor.
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--- Release 0.01b ---
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2008-04-03 BlackLight <blacklight@autistici.org>
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* all: First beta release ^^
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Copyright 2008, 2009, BlackLight
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Copying and distribution of this file, with or without modification,
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are permitted provided the copyright notice and this notice are
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preserved.
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