ProtoTree: Addressing the black-box nature of deep learning models

One of the biggest obstacles in the adoption of Artificial Intelligence is that it cannot explain what a prediction is based on. These machine-learning systems are so-called black boxes when the reasoning for a decision is not self-evident to a user. Meike Nauta, Ph.D. candidate at the Data Science group within the EEMCS faculty of the University of Twente, created a model to address the black-box nature of deep learning models.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3gtx0iE

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