Realizing neural networks on edge devices (IMAGE)

Tokyo University of Science

Realizing neural networks on edge devices

Caption

(a) Structure of the proposed neural network, which uses three-valued gradients during backpropagation (training) rather than real numbers, thus minimizing computational complexity. (b) A novel magnetic RAM cell leveraging spintronics for implementing the proposed technique in a computing-in-memory architecture.   

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Takayuki Kawahara from Tokyo University of Science

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Takayuki Kawahara from Tokyo University of Science

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