Pre-trained Convolutional Neural Networks for Gender Classification

DOI

10.2991/978-94-6463-196-8_25How to use a DOI?

Keywords

gender classification; keras models; convolution neural network; deep neural network

Abstract

Many researchers have used Convolutional Neural Networks (CNN) models to solve the gender classification problem using pre-trained architectures. In this paper, the author has focused on investigating the success of the custom CNN model with respect to pre-trained deep neural models like VGG16, ResNet152V2, InceptionResNetV2 and EfficientNetV2L with limited data for gender classification.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bhuvaneshwari Patil
AU  - Mallikarjun Hangarge
PY  - 2023
DA  - 2023/08/10
TI  - Pre-trained Convolutional Neural Networks for Gender Classification
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 319
EP  - 326
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_25
DO  - 10.2991/978-94-6463-196-8_25
ID  - Patil2023
ER  -