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

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

Category:
Embedded Systems

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Catalogue

Author(s):	Bert Moons

Date:	2018	Format:	PDF, EPUB	Language:	English	ISBN/ASIN:	3319992228
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	alex21s	Upload Date:	11/18/2018 2:28:22 PM

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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 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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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2330872	Book	https://tezfiles.com/file/164ab969b21d6/...		0.00	alex21s

Tags: Algorithms Always-on Architectures Circuits Deep Embedded Learning Network Neural Processing

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