Using Convolutional Neural Networks Based on a Taguchi Method for Face Gender Recognition

Using Convolutional Neural Networks Based on a Taguchi Method for Face Gender Recognition

In general, a convolutional neural network (CNN) consists of one or more convolutional layers, pooling layers, and fully connected layers. Most designers adopt a trial-and-error method to select CNN parameters. In this study, an AlexNet network with optimized parameters is proposed for face image re...

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Bibliographic Details
Main Authors: Cheng-Jian Lin, Yu-Chi Li, Hsueh-Yi Lin
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Electronics
Subjects:
convolutional neural network
Taguchi method
parameter optimization
image recognition
Online Access:https://www.mdpi.com/2079-9292/9/8/1227

Internet

https://www.mdpi.com/2079-9292/9/8/1227

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