Taha Zafar
Explainable AI.
Rel. Giovanni Squillero, Alberto Paolo Tonda, Pietro Barbiero. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2022
Abstract
Unsupervised conceptual extraction in Deep Neural Networks. Stemming from the recent advances in Explainable AI (XAI), the work will train deep neural networks to classify well-known paintings according to standard artistic taxonomy (genre, style, ...) to ultimately generate and study the "artificial concepts" that led to a decision. Such "artificial concepts", representing high-level entities such as use of color and strokes, will be autonomously uncovered by the network, thanks to Logic Layers, and later analyzed by an expert.
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