On explainability of deep neural networks
Document typeMaster thesis
Rights accessOpen Access
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Deep Learning has attained state-of-the-art performance in the recent years, but it is still hard to determine the reasoning behind each prediction. This project will cover the latest advances on interpretability and propose a new method for pixel attribution on image classifiers.
SubjectsNeural networks (Computer science), Machine learning, Xarxes neuronals (Informàtica), Aprenentatge automàtic
DegreeMÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012)