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Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing

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Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-On Neural Network Processing - Moons, Bert, and Bankman, Daniel, and Verhelst, Marian
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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 ...

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Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-On Neural Network Processing 2019, Springer, Cham

ISBN-13: 9783030075774

Trade paperback

Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing 2018, Springer International Publishing AG, Cham

ISBN-13: 9783319992228

Hardcover