기술동향

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[한국전자통신연구원] 경량 딥러닝 기술 동향
테크포럼
2019-04-09 07:43:25

Ⅰ. 서론
Ⅱ. 경량 딥러닝 알고리즘
Ⅲ. 알고리즘 경량화
Ⅳ. 경량 딥러닝 산업 동향
V. 결론

 

초록
Considerable accuracy improvements in deep learning have recently been achieved in many applications that require large amounts of computation and expensive memory. However, recent advanced techniques for compacting and accelerating the deep learning model have been developed for deployment in lightweight devices with constrained resources. Lightweight deep learning techniques can be categorized into two schemes: lightweight deep learning algorithms (model simplification and efficient convolutional filters) in nature and transferring models into compact/small ones (model compression and knowledge distillation). In this report, we briefly summarize various lightweight deep learning techniques and possible research directions.

 

 

 

 

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