Stochastic Computing for Hardware Implementation of Binarized Neural Networks

Stochastic Computing for Hardware Implementation of Binarized Neural Networks

Binarized neural networks, a recently discovered class of neural networks with minimal memory requirements and no reliance on multiplication, are a fantastic opportunity for the realization of compact and energy efficient inference hardware. However, such neural networks are generally not entirely b...

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Bibliographic Details
Main Authors: Tifenn Hirtzlin, Bogdan Penkovsky, Marc Bocquet, Jacques-Olivier Klein, Jean-Michel Portal, Damien Querlioz
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Binarized neural network
stochastic computing
embedded system
MRAM
in memory computing
Online Access:https://ieeexplore.ieee.org/document/8731879/

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