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Deep Reinforcement Learning Processor Design for Mobile Applications Hardback - 2023
by Juhyoung Lee; Hoi-Jun Yoo
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From the publisher
From the rear cover
This book discusses the acceleration of deep reinforcement learning (DRL), which may be the next step in the burst success of artificial intelligence (AI). The authors address acceleration systems which enable DRL on area-limited & battery-limited mobile devices. Methods are described that enable DRL optimization at the algorithm-, architecture-, and circuit-levels of abstraction.
- Enables deep reinforcement learning (DRL) optimization at algorithm-, architecture-, and circuit-levels of abstraction;
- Includes methodologies that can reduce the high cost of DRL;
- Uses analysis of computational workload characteristics of DRL in the context of acceleration.
Details
- Title Deep Reinforcement Learning Processor Design for Mobile Applications
- Author Juhyoung Lee; Hoi-Jun Yoo
- Binding Hardback
- Pages 101
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2023-08-15
- Illustrated Yes
- Features Illustrated
- ISBN 9783031367922 / 3031367928
- Weight 0.73 lbs (0.33 kg)
- Dimensions 9.21 x 6.14 x 0.31 in (23.39 x 15.60 x 0.79 cm)
- Category Technology & Industrial Arts
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Deep Reinforcement Learning Processor Design for Mobile Applications
by Juhyoung Lee
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