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