The Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models-Reference-Cited by-同舟云学术

The Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models

Published:2022 Issue: Volume:10 Page:127728-127741
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fagbohungbe Omobayode¹^ORCID,Qian Lijun¹^ORCID

Affiliation:

1. Center of Excellence in Research and Education for Big Military Data Intelligence (CREDIT Center), Prairie View A&M University, The Texas A&M University System, Prairie View, TX, USA

Funder

U.S. National Science Foundation

Office of the Under Secretary of Defense for Research and Engineering (OUS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/6287639/9668973/9893106-aam.pdf

Reference64 articles.

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2. Training Recurrent Neural Networks against Noisy Computations during Inference

3. Noisy computations during inference: Harmful or helpful?;qin;arXiv 1811 10649,2018

4. Enhanced MLP performance and fault tolerance resulting from synaptic weight noise during training

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