Computer Vision: Face Recognition Quick Starter in Python (Updated 5/2020)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English| Duration: 42 lectures (4h 18m) | Size: 2.6 GB

Quickly Build Python Deep Learning based Face Detection, Recognition, Emotion , Gender and Age Classification Systems What you'll learn:
Face Detection from Images, Face Detection from Realtime Videos, Emotion Detection, Age-Gender Prediction, Face Recognition from Images, Face Recognition from Realtime Videos, Face Distance, Face Landmarks

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

Description
Hi There!

welcome to my new course 'Face Recognition with Deep Learning using Python'. This is the second course from my Computer Vision series.

Face Detection and Face Recognition is the most used applications of Computer Vision. Using these techniques, the computer will be able to extract one or more faces in an image or video and then compare it with the existing data to identify the people in that image.

Face Detection and Face Recognition is widely used by governments and organizations for surveillance and policing. We are also making use of it daily in many applications like face unlocking of cell phones etc.

This course will be a quick starter for people who wants to dive deep into face recognition using Python without having to deal with all the complexities and mathematics associated with typical Deep Learning process.

We will be using a python library called face-recognition which uses simple classes and methods to get the face recognition implemented with ease. We are also using OpenCV, Dlib and Pillow for python as supporting libraries.

Let's now see the list of interesting topics that are included in this course.

At first we will have an introductory theory session about Face Detection and Face Recognition technology.