From a general perspective, the most impressive results [1, 6] in Machine Learn- ing have been recently obtained via black-box models, being Deep Neural Net- works (DNNs) the major player in the game. Nowadays, the same wonder that Eugene Wigner expressed for the unreasonable effectiveness of mathematics in describing physical world in the sixties of last century , should and is to a certain degree permeating computer scientists concerning the ability that com- puters show of solving complex tasks, often better than expert humans .
|Titolo:||Deep Neural Networks and Explainable Machine Learning|
|Data di pubblicazione:||2019|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|