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Dr Bikasih Thapa & Dr Maheswar Prasad (Nepal) - Hideo Wada MD PhD (japan) - Dr a Lavra Castrocatesana (Mexico) - Dr Mrs N.M. Hettiarachechui (Srilanka) - Dr Jorge Aldrete Velasco (Mexico) - Prof Hans Peter Kohler (Switzerland) - Dr Hermanus Suhartono S Sp.OG(K) PhD - Dr Isabel Pinheiro (Portugal) - Dr Suranga (Srilanka) - Jovia Dino Jansen Amsterdam,Holand - Hideo Wada MD PhD University Graduate School of Medicine Departement of Moleculer and Laboratory Medicine Japan - DR Bikash Thapa Internal Medicine Nepal University - DR Maheswar Prasad Internal Medicine Nepal University - Dr a Lavra Castro Castresana Colegio de Medicina interna de Mexico - Dr Suransa Manilgama University of Srilanka Internal Departement Medicine - Dr Mrs N.M. Hettiarachechui University of Medicine Srilanka - Dr Jorge Aldrete Velaso .Colegio de Medicina Interna de Mexico - Prof Hans Peter Kholer M.D FACD Profesor of Medicine University ot Switzerland - Dr Ramezan Ali Atace . Baqiyatallah University of Medical Sciences Departement of Micrology Tehran Iran - Ezekiel Wong Toh Yoon Dr. Gastroenterology of Japan - D Eric Beck,MD Bethesda Hospital Capitol Boelevard St Paul USA - Dr Emine Guderen Sahin Istambul University of Internal Medicine Turky - Dr Selmin Toplan Istambul University - Dr Nicholas New Australia - Dr Kughan Govinden. Tropical Infection of Internal Medicine Malaysia - Dr Godfrey M Rwegerera Princes Marina Hospital Bostwana -

Title : Age and Gender Estimation

Author : THIPPALURU ISWARYA,, JANGILI RAVI KISHORE, K BALAJI SUNIL CHANDRA

Abstract :

With the proliferation of social media and platforms, automatic age and gender categorization has gained relevance in a growing number of applications. When compared to the recent reported great jumps in performance for the related job of face recognition, the performance of present approaches on real-world photographs is still severely insufficient. We demonstrate in this research that deep-convolution neural network (CNN) models (age_net.caffemodel, gender_net.caffe model) can learn representations and significantly improve performance on these tasks. So, even with a little quantity of training data, we suggest a basic convolution net design.

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Editor Board
Editor in chief

Dr. Arend L Mapanawang, Sp.PD, FINASIM, PhD

Subject Area

Medicine and medical science

Nursing and midwifery

Nutrition and metabolism

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