,Model-driven deep-learning

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Deep leaing has been widely recognized as the representative advances of machine leaing or artificial intelligence in general nowadays [1,2].This can be attributed to the recent breakthroughs made by deep leaing on a series of challenging applications.A deep-leaing approach improves the accuracy rate of face recognition to be higher than 99%,beating the human level [3].For speech recognition and machine translation,deep leaing is approaching the performance level of a simultaneous interpreter [4].For the game of ‘go,it successfully beats the human world champion [5].For diagnosis of some specific diseases,it has matched the level of medium or senior professional physicians [6].Until now,it has been hard to find areas in which the deep-leaing technique has not been tried in their respective tasks.
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