Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design

Zheng, Nan

Hardcover

Series: IEEE Press

Technology & EngineeringGeneral Computers

ISBN10: 1119507383
ISBN13: 9781119507383
Publisher: Wiley-IEEE Press
Published: Dec 26 2019
Pages: 296
Weight: 1.41
Height: 0.90 Width: 6.70 Depth: 9.70
Language: English

Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications

This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities--and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks.

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