Invited: Accelerator design for deep learning training

Deep Neural Networks (DNNs) have emerged as a powerful and versatile set of techniques showing successes on challenging artificial intelligence (AI) problems. Applications in domains such as image/video processing, autonomous cars, natural language processing, speech synthesis and recognition, genom...

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Bibliographic Details

Published in:	2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC) pp. 1 - 2
Main Authors:	Agrawal, Ankur, Chia-Yu Chen, Jungwook Choi, Gopalakrishnan, Kailash, Jinwook Oh, Shukla, Sunil, Srinivasan, Viji, Venkataramani, Swagath, Wei Zhang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-06-2017
Subjects:	Computational modeling Data models Hardware Machine learning Neural networks System-on-chip Training
Online Access:	Get full text
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