Analysis of Gender Classification Technique Using Deep Artificial Neural Network (ANN) Models

Authors

  • Dheeraj Kumar Sharma, Arpana Bharani

Keywords:

complicated, expression, perform, fluctuating

Abstract

As a result, ANN is an attempt to mimic the human brain by learning it to perform tasks it has never done before. All of the neurons in the human brain are interconnected, forming a huge, well-connected network that allows us to perform difficult tasks like voice and image recognition relatively easily. If you repeat the same task on a regular computer, you will get an incorrect result. Thus, ANN uses a technique comparable to human brain cells to build a link between input and targets. Gender classification from face images is a complex operation due to the presence of a complicated background, object occlusion, and fluctuating lighting conditions. Face images can be utilised for tracking, recognition, and expression analysis, among other things. This study looks at two deep learning-based approaches to gender classification using face images.

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References

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Published

23.02.2024

How to Cite

Dheeraj Kumar Sharma. (2024). Analysis of Gender Classification Technique Using Deep Artificial Neural Network (ANN) Models. International Journal of Intelligent Systems and Applications in Engineering, 12(17s), 1062–1072. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/8039

Issue

Vol. 12 No. 17s (2024)

Section

Research Article

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