Research on a Convolution Kernel Initialization Method for Speeding Up the Convergence of CNN

Research on a Convolution Kernel Initialization Method for Speeding Up the Convergence of CNN

This paper presents a convolution kernel initialization method based on the local binary patterns (LBP) algorithm and sparse autoencoder. This method can be applied to the initialization of the convolution kernel in the convolutional neural network (CNN). The main function of the convolution kernel...

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Bibliographic Details
Main Authors: Chunyu Xu, Hong Wang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Applied Sciences
Subjects:
convolutional neural network
convolution kernel
local binary patterns
sparse autoencoder
Online Access:https://www.mdpi.com/2076-3417/12/2/633

Internet

https://www.mdpi.com/2076-3417/12/2/633

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