* @example examples/learnAdd.cpp Show how to train a network that performs sums between
* two real numbers. The training XML is built from scratch, then saved to a file, then
* the network is initialized using that XML file, trained, and the resulting trained
* network is saved to adder.net. Then, you should take a look at doAdd.cpp to see how
* to use that file to use the network.
* @example examples/doAdd.cpp Show how to use a network already trained and saved to a
* binary file. In this case, a network trained to simply perform sums between two real
* numbers, that should have already been created using learnAdd.
* @example examples/adderFromScratch.cpp Similar to learnAdd.cpp, but this time the
* training XML is generated as a string and not saved to a file, and parsed by the
* program itself to build the network. Then, the program asks two real numbers, and
* performs both the sum and the difference between them, putting the sum's output on
* the first output neuron and the difference's on the second output neuron. Anyway,
* using more than one neuron in the output layer is strongly discouraged, as the network
* usually won't set correctly the synaptical weights to give satisfying and accurate
* answers for all of the operations.
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