Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs

2021 ◽  
Author(s):  
Zhepeng Wang ◽  
Yawen Wu ◽  
Zhenge Jia ◽  
Yiyu Shi ◽  
Jingtong Hu
Keyword(s):  
Neural Networks ◽  
Working Memory ◽  
Deep Neural Networks ◽  
Resource Constrained ◽  
Memory Compression ◽  
Run Time

scholarly journals Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 212177-212193
Author(s):  
Yoshitomo Matsubara ◽  
Davide Callegaro ◽  
Sabur Baidya ◽  
Marco Levorato ◽  
Sameer Singh
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Edge Computing ◽  
Resource Constrained ◽  
Computing Systems

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks
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