What you'll learn
To understand the architecture of deep learning models used for face detection, recognition, and aging
To implement deep learning models used for face detection, recognition, and aging

Requirements
Have the basic knowledge about CNN
Familiar with Python programming
Description
This is in-depth short course that deeply overviews and explains the architecture of deep learning models that were proposed in the literature for face detection, recognition, and aging. In addition, this course presents the detailed steps for Python code that used to build these deep models.

All the development tools and materials required for this course are FREE. Besides that, all implemented Python codes are attached with this course.

Who this course is for:
Individuals who are interested to know the architecture and implementation of deep learning models used for face detection, recognition, and aging.