aromanro/MachineLearning

Add more loss functions

aromanro opened this issue · 0 comments

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).