Age Estimation With Deep Learning: Getting Started

Sergey L. Gladkiy

Rate me:

5.00/5 (7 votes)

17 Jul 2020CPOL4 min read

9.3K

172

In this article, we'll begin the process of how to use a deep neural network to estimate a person's age from an image.

Here, we'll look at choosing the appropriate method and tools (CNN), look at two different age estimation problems (regression and classification problem), some of the common steps for solving classification problems, and briefly discuss the merits of Keras, an open-source and cross-platform neural network library.

Views

Daily Counts

Downloads

Weekly Counts

This article is part of the series 'Age Estimation with Deep Learning View All Next ▷

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Sergey L. Gladkiy

Team Leader VIPAKS

Russian Federation

EDUCATION:

Master’s degree in Mechanics.

PhD degree in Mathematics and Physics.

PROFESSIONAL EXPERIENCE:

15 years’ experience in developing scientific programs
(C#, C++, Delphi, Java, Fortran).

SCIENTIFIC INTERESTS:

Mathematical modeling, symbolic computer algebra, numerical methods, 3D geometry modeling, artificial intelligence, differential equations, boundary value problems.

Age Estimation With Deep Learning: Getting Started

Views

Downloads

License

Comments and Discussions