neuralpp/ChangeLog

--- Release 1.0 ---

2009-09-02 BlackLight <blacklight@autistici.org>

	* all: Most of the code has been rewritten. Now a trained network should
	be saved, via save() method, to an XML file, and loaded from that using
	the constructor. This way is much cleaner, and easily fixable and
	customizable too. The old approach through binary files has been kept yet
	through saveToBinary() and loadFromBinary() methods, for
	back-compatibility purposes, though it's strongly deprecated. Moreover,
	the XML formats (for training the network and for loading a trained
	network's information) are fully compatible with the ones used by
	NeuralPerl module, mostly a Perl version of this library, so you can use
	the same XML files to train and load a neural network using C++ and Perl.
	Moreover, a great step forward in the fixing of the dirty old
	vulnerability (synaptical random weights overflow) has been made, keeping
	the values of the weights very low and ~ 0. I've made tons of tests and
	the network never overflowed. Anyway, if you should experience an
	overflow (synaptical weights go > 1), just write me. I've also done a
	deep re-design of library's classes, using as public methods only the
	stuff you *REALLY* need to be public.

--- Release 0.4 ---

2009-08-16 BlackLight <blacklight@autistici.org>

	* all: Now it *REALLY* supports multiple output values, i.e. multiple
	neurons, in the output layer.
	Oh, and I've fixed too that nasty bug that made training from sets
	containing more than a single training set.
	Added examples in the Doxygen documentation.
	* neuron.cpp: Fixing propagate() function

2009-08-15 BlackLight <blacklight@autistici.org>

	* Makefile: Now you compile Neural++ with -Wall -pedantic
	-pedantic-errors -ansi. And you won't get a single error. I love writing
	pedantic, pure ISO C++ code...

	* all: Hey I can't believe it guys, I've fixed that horrible bug an
	neural output won't diverge anymore ^^
	Also removed the 'deriv' parameter, as function pointer. It was just
	useless, as once you have an activation function, you can compute its
	derivate in any points. But, of course, this makes old codes no more
	compatible with this new version.

--- Release 0.3 ---

2009-08-09 BlackLight <blacklight@autistici.org>

	* Makefile: Totally changed
	* neural++.hpp: Changed header name, added BETA0 macro
	* synapsis.cpp: Added momentum() method to compute the inertial momentum
	of a synapsis
	* all: Data type changed from float to double for everything,
	fixing neuralpp namespace, fixed indentation, fixed exception throwing,
	fixed documentation

--- Release 0.2.2 ---

2008-11-04 BlackLight <blacklight@autistici.org>

	* all: Added initXML(), XMLFromSet() and closeXML() methods to auto-
	generate training XML.

train() method can now get XML both from a file and from a simple string.

--- Release 0.2.1 ---

2008-10-22 BlackLight <blacklight@autistici.org>

	* all: Added `train()` method to NeuralNet class, that allows you to
	train a neural network using an XML containing pre-saved training
	sets (input values, expected output). See examples/adder.xml for an
	example of such XML.

--- Release 0.2 ---

2008-10-12 BlackLight <blacklight@autistici.org>

	* all: Added `save()` method to NeuralNet class, that allows you to
	save a trained  neural network to a binary file, to load anytime you
	need using NeuralNet(const char *fname) constructor.

--- Release 0.01b ---

2008-04-03 BlackLight <blacklight@autistici.org>

	* all: First beta release ^^

Copyright 2008, 2009, BlackLight
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