MachineLearning
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Add more loss functions
For now only L2, L1 and binary cross-entropy losses are implemented. Should be enough for simple examples/cases... but more could be added (as in Huber and so on).
This is postponed until the project reaches a functional state (up to the intended multilayer perceptron).