On Loss Functions for Deep Neural Networks in Classification

18 Feb 2017Katarzyna JanochaWojciech Marian Czarnecki

Deep neural networks are currently among the most commonly used classifiers. Despite easily achieving very good performance, one of the best selling points of these models is their modular design - one can conveniently adapt their architecture to specific needs, change connectivity patterns, attach specialised layers, experiment with a large amount of activation functions, normalisation schemes and many others... (read more)

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