Hardware-Based Real-Time Deep Neural Network Lossless Weights Compression

Hardware-Based Real-Time Deep Neural Network Lossless Weights Compression

Deep Neural Networks (DNN) are widely applied to many mobile applications demanding real-time implementation and large memory space. Therefore, it presents a new challenge for low-power and efficient implementation of a diversity of applications, such as speech recognition and image classification,...

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Bibliographic Details
Main Authors: Tomer Malach, Shlomo Greenberg, Moshe Haiut
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep neural network
entropy compression
hardware decoder
real-time
Online Access:https://ieeexplore.ieee.org/document/9253521/

Internet

https://ieeexplore.ieee.org/document/9253521/

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