关键词: 深度卷积神经网络, 年龄预测, 性别分类

Abstract: Since deep Convolutional Neural Network（CNN） has good properties of feature learning, it has been investigated deeply and applied widely. Compared with the amazing results applied by deep CNN in object recognition and classification, its application in age prediction and gender discrimination is far away from practice. This paper designs a deep CNN and trains the model on identification photos and Adience dataset, so as to apply it in the prediction of people’s age and gender classification. Experiments based on Tensorflow show that this model is able to successfully estimate individuals’ age at an accuracy rate about 90% and gender at 93% respectively. The results are better than others.

Key words: deep Convolutional Neural Network（CNN）, age prediction, gender classification