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Distilling the Knowledge in a Neural Network

Published in arXiv (Cornell University) • Mar 9, 2015
Authors:
Geoffrey E. Hinton
,
Oriol Vinyals
,
Jay B. Dean

Abstract

A very simple way to improve the performance of almost any machine learning algorithm is to train many different models on the same data and then to average their predictions. Unfortunately, making predictions using a whole ensemble of models is cumbersome and may be too computationally expensive to...

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