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Embedded Deep Learning
- Algorithms, Architectures and Circuits for Always-on Neural Network Processing
Af: Daniel Bankman, Marian Verhelst, Bert Moons
Engelsk
Bogcover for Embedded Deep Learning af Daniel Bankman, Marian Verhelst, Bert Moons, 9783030075774
Specifikationer
Sprog:
Engelsk
Sider:
206
ISBN-13:
9783030075774
Indbinding:
Paperback
ISBN-10:
303007577X
Kategori:
Udg. Dato:
19 jan 2019
Størrelse i cm:
15,4 x 23,3 x 1,5
Forlag:
Oplagsdato:
19 jan 2019
Forfatter(e):
Genre:

Embedded Deep Learning

- Algorithms, Architectures and Circuits for Always-on Neural Network Processing
Af: Daniel Bankman, Marian Verhelst, Bert Moons
Engelsk
Paperback 2019
Format:
Paperback
Bog beskrivelse

This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in four silicon prototypes for embedded deep learning.

  • Gives a wide overview of a series of effective solutions for energy-efficient neural networks on battery constrained wearable devices;
  • Discusses the optimization of neural networks for embedded deployment on all levels of the design hierarchy - applications, algorithms, hardware architectures, and circuits - supported by real silicon prototypes;
  • Elaborates on how to design efficient Convolutional Neural Network processors, exploiting parallelism and data-reuse, sparse operations, and low-precision computations;
  • Supports the introduced theory and design concepts by four real silicon prototypes. The physical realization''s implementation and achieved performances are discussed elaborately to illustrated and highlight the introduced cross-layer design concepts.

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Specifikationer
Sprog:
Engelsk
Sider:
206
ISBN-13:
9783030075774
Indbinding:
Paperback
ISBN-10:
303007577X
Kategori:
Udg. Dato:
19 jan 2019
Størrelse i cm:
15,4 x 23,3 x 1,5
Forlag:
Oplagsdato:
19 jan 2019
Forfatter(e):
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