logo
Udemy – Computer Vision: Face Recognition Quick Starter in Python 2022-1

Udemy – Computer Vision: Face Recognition Quick Starter in Python 2022-1

Published on: 2022-10-23 19:58:36

Categories: 28

Share:

Description

Computer Vision: Face Recognition Quick Starter in Python, a training course, build a model of deep learning based on Python, for the discovery and understanding, face, feeling, gender, and age. This is the second course of the tutorial series, see Cars (series Training Computer Vision) is. The obvious storage and face detection the most important and most widely used parts used in the vision machine are. Use the techniques taught in this course, computers will be able to one or more faces from a single image or video, extract them, and then take it with existing data matching will happen to those contained in the image will recognize. Revealing the face, and Face Detection widely used by governments and organizations to issues of care and security is used, and, of course, that we have this functionality in everyday use in programs like unlock the screen mobile phone with Face, also we use. This course is a foundation course for people who want to use Face Detection to help python without working with the mathematics of complex related to the process of deep learning to learn.

What course Computer Vision: Face Recognition Quick Starter in Python learn:

Specifications period

Publisher: Udemy
teachers: Abhilash Nelson
language: English
educational level: introductory to advanced
the number of courses: 42
Duration Time: 4 hours and 18 minutes

This course Computer Vision: Face Recognition Quick Starter in Python 2022-7

Computer Vision: Face Recognition Quick Starter in PythonComputer Vision: Face Recognition Quick Starter in Python

Prerequisite course:

A decent configuration computer and an enthusiasm to dive into the world of computer vision based Face Recognition

Images

Computer Vision Face Recognition Quick Starter in Python

Sample movie

Installation guide

After the Extract, etc. with the Player your desired view.

Subtitles: no (based on periodic profile in the image taken, this course lacks the subtitle is.)

Quality: 720

Changes:

Version 2022/1 has increased the number of 45 lessons and the total duration of lessons by 5 hours and 2 minutes compared to version 2020/5.

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

Download Part 4 – 27.8 MB

Password file(s): www.abc.com

File size

6.02 GB

Sharing is caring:

Leave a Comment (Please sign to comment)