[ FreeCourseWeb ] Udemy - Deep Learning for Face Detection, Recognition & Aging torrent

[ FreeCourseWeb.com ] Deep Learning for Face Detection, Recognition & Aging

Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 611 MB | Duration: 1h 5m
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.

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com

Get More Tutorials and Support Us -->> https://DevCourseWeb.com

We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...