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Abstract: Automatic age and gender classification has a common use in age specific content access for children.Social media uses it in delivering layered ads and marketing to extend it's a reach. More or less, age estimation from the face is still a challenging problem due to the effects from many internal factors, such as gender and race, and external factors, such as environments and lifestyle. In this paper, webring forward deep CNN to improve age and gender predication from remarkable results can be obtained and a noteworthy improvement can be seen in various tasks such as face recognition. A simple Convolutional Network Architecture is proposed to make a noticeable improvement in this field using existing methods.