EUNNet: Efficient UN-Normalized Convolution Layer for Stable Training of Deep Residual Networks Without Batch Normalization Layer

EUNNet: Efficient UN-Normalized Convolution Layer for Stable Training of Deep Residual Networks Without Batch Normalization Layer

Batch Normalization (BN) is an essential component of the Deep Neural Networks (DNNs) architectures. It helps improve stability, convergence, and generalization. However, studies are showing that BN might introduce several concerns. Although there are methods for training DNNs without BN using prope...

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Bibliographic Details
Main Authors: Khanh-Binh Nguyen, Jaehyuk Choi, Joon-Sung Yang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep neural networks
batch normalization
overfitting
computer vision
image classification
object detection
Online Access:https://ieeexplore.ieee.org/document/10041931/

Internet

https://ieeexplore.ieee.org/document/10041931/

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