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This Special Section of the Bulletin of the Polish Academy of Sciences on Technical Sciences is devoted to theoretical aspects of deep machine learning as well as practical applications in some areas of signal and image processing, particularly in bioengineering.
Artykuł dotyczy podstaw działania typowych sieci neuronowych głębokich, do których zalicza się sieci konwolucyjne (CNN), autoenkoder czy sieć LSTM. Omówiono struktury tych sieci, ich algorytmy uczenia oraz dokonano przeglądu podstawowych zastosowań owych sieci w rozwiązywaniu różnego rodzaju zadań eksploracji danych, między innymi klasyfikacji, regresji, segmentacji danych, rekonstrukcji danych i...
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