• Priyanka Pal
• Jaimala Jha

Today, automatic gender identification influences the usage of social networking websites and social media in various software and hardware. Despite this, the current system's performance with real-world face photos is poor, particularly when compared to the results of facial recognition tasks. Researchers showed significant interest in the field of soft biometrics to fill the gaps between humans and machines by increasing real-world application. Soft biometrics consist of gender, ethnicity, height, facials and so on. This study offers a detailed discussion on the role of researchers in deep learning in the field of gender classification. Deep learning and auto encoders are most of the labor. For an effortless interpretation of tabular correlation study, different parts relating to the neural network model are included, such as data set, findings, calculative metrics, and findings

Deep learning, Gender classification CNN, SIFT, SVM, etc.

"A REVIEW STUDY ON FACE GENDER RECOGNITION USING DEEP LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.c533-c538, November-2021, Available :http://www.jetir.org/papers/JETIR2111272.pdf

"A REVIEW STUDY ON FACE GENDER RECOGNITION USING DEEP LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppc533-c538, November-2021, Available at : http://www.jetir.org/papers/JETIR2111272.pdf