Real world Gender and Age Prediction using CNN

Abstract

The real world gender and age prediction is opined to develop to deal multitude of real world problems and scenarios where in there is an exceedingly great usage for the validation of a person and to authenticate the identity of a person. This project would be developed using a renowned deep learning algorithm – CNN ( Convolutional Neural Network ) to enhance the precision rate. To this end, we design a simple convolutional network architecture that can be used and deployed using adequate number of pooling layers so as to get sterling precision to the extent possible, training the model using publicly available dataset. Keywords deep learning, convolutional neural network, computer vision, prediction.