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  • eBook:Embedded Deep Learning

    Embedded Deep Learning

    Algorithms, Architectures and Circuits for Always-on Neural Network Processing
    Bert Moons; Daniel Bankman; Marian Verhelst
    978-3-319-99223-5
    2019
    Edition 1
    • 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

    €180

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