ANALYSIS OF GENDER CLASSIFICATION TECHNIQUE USING ARTIFICIAL NEURAL NETWORK (ANN)
Research Scholar, Department of Computer Science ,Dr. A. P. J. Abdul Kalam University, Indore
Dr. Arpana Bharani
Research Guide, Department of Computer Science, Dr. A.P.J. Abdul Kalam University, Indore), email@example.com
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.