Why deep learning models are qualified as black box ?

10 October 2017 0 8K Report

I don’t understand why deep learning models are qualified as black boxes. DL models calculate the output based on input using multi layers. Also, SVM calculate the output based on input using kernel. Why deep model is black box and SVM is not?

This black box property is due to the input data (DL model don't use hand-crafted features but use directly raw data)

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