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SAMEK ET AL. EVALUATING THE VISUALIZATION …
SAMEK ET AL. EVALUATING THE VISUALIZATION OF what A DEEP NEURAL NETWORK HAS LEARNED1 EVALUATING the VISUALIZATION of what aDeep Neural Network has learnedWojciech SAMEK Member, IEEE,Alexander Binder , Gr egoire Montavon, Sebastian Bach, and Klaus-RobertM uller,Member, IEEE,Abstract Deep Neural Networks (DNNs) have demonstratedimpressive performance in complex machine learning tasks suchas image classification or speech recognition. However, due totheir multi-layer nonlinear structure, they are not transparent, , it is hard to graspwhatmakes them arrive at a particularclassification or recognition decision given a new unseen datasample. Recently, several approaches have been proposed en-abling one to understand and interpret the reasoning embodiedin a DNN for a single test image.
SAMEK ET AL. EVALUATING THE VISUALIZATION OF WHAT A DEEP NEURAL NETWORK HAS LEARNED 1 Evaluating the visualization of what a Deep Neural Network has learned
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