# Conflicts:
#	src/LearningMethods/GradientDescent.cpp
#	src/examples/net_test_pde_1.cpp

ENH + NEW: Implemented the data normalization funcionality to DataSet. Created a new class NormalizationStrategy.

ENH: Only classes belonging to API are now contained in 4neuro.h. All those classes were enclosed in 'lib4neuro' namespace.

ADD: added preliminary version of gradient calculation vie backpropagation, added supporting methods to error classes and learning algorithms utilizing gradient calculation

ENH: Removed both linking and include dependencies from examples => lib4neuro can be used just by linking it and including its header without any external dependencies needed.

ENH: Simplified the message macros and removed DEBUG constant from compilation, as it's not neccessary now.