Classification with changing number of objects using deep learning (VIDEO)
Caption
Bar-Ilan University researchers have uncovered a new universal law detailing how artificial neural networks handle an increasing number of categories for identification. This law demonstrates how the identification error rate of such networks increases with the number of required recognizable objects.
Credit
Prof. Ido Kanter, Bar-Ilan University
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