Transcription of Efficient Processing of Deep Neural Networks: A Tutorial ...
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Efficient Processing of Deep Neural Networks: A Tutorial ...
Efficient Processing of Deep Neural Networks: A Tutorial and Survey This article provides a comprehensive Tutorial and survey coverage of the recent advances toward enabling Efficient Processing of deep Neural networks. B y V i v i e n n e S z e , S e n i o r M e m b e r I E E E , Y u -H s i n C h e n , S t u d e n t M e m b e r I E E E , Ti e n -J u Ya ng , Student Member IEEE, a n d J oe l S. E m e r , Fellow IEEE. ABSTRACT | Deep Neural networks (DNNs) are currently widely between various hardware architectures and platforms;. used for many artificial intelligence (AI) applications including be able to evaluate the utility of various DNN design computer vision, speech recognition, and robotics. While DNNs techniques for Efficient Processing ; and understand recent deliver state-of-the-art accuracy on many AI tasks, it comes implementation trends and opportunities.
a comprehensive tutorial and survey about the recent advances toward the goal of enabling efficient processing of DNNs. Specifically, it will provide an overview of DNNs, discuss various ... We will also present a brief chronology of the major steps in its history, and some current domains to which it is being applied.
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