Age Estimation With Deep Learning: Training CNN

Sergey L. Gladkiy

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23 Jul 2020CPOL6 min read

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In this article we train the CNN for age estimation.

Here we show you how to feed the dataset images to the model and optimize it for the age estimation.

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

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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: Training CNN

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