Abhilash Nelson
Hi There!
welcome to my new course ‘Face Recognition with Deep Learning using Python’. This is an updated course from my Computer Vision series which covers Python Deep Learning based Face Detection, Face Recognition, Emotion , Gender and Age Classification using all popular models including Haar Cascade, HOG, SSD, MMOD, MTCNN, EigenFace, FisherFace, VGGFace, FaceNet, OpenFace, DeepFace
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.
Instructor Details
Courses : 6
Specification: Computer Vision: Face Recognition Quick Starter in Python
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17 reviews for Computer Vision: Face Recognition Quick Starter in Python
Add a review
| Price | $15.99 |
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| Provider | |
| Duration | 9.5 hours |
| Year | 2022 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$15.99
Mirko Perrone –
Very good indeed
Aldi Patria –
Good making be happy
Kevin Chiu –
Great !!!
Ayman Hindam –
Material at the end of the course!.
Joseph Fu –
This instructor’s lecture is excellent. Concise, organized, completed, runnable source codes is provided. This course is very helpful for you to understand face detection and recognition.
Paola Montoya –
Very happy with this course. Despite I was expecting to get deeply into CNN’s, the automatic methods and the introduction of entirely new libraries for me in terms of face recognition is really amazing. It helped me to understand the real time part of the face analysis. Thank you very much.
William Tan –
This course enables me to build facial recognition and understand the fundamental concepts quickly!
Thomas –
good
David –
really simple and easy explanations to make out amazing things, keep it up
Lohran Bentemuller –
excellent course, in a few hours I learned what I was looking for
Amey Mahajan –
just OpenCV introductory Course
Sant cherian –
Yes feeling goood and comfortable. facing some problem in installing Tensorflow… will try my best to solve it
Narudol Ponpantin –
good teacher, explain quite clear, it would be nice if have more example about know face recognition from dataset not from image
Gaurav Goyal –
Course is good in terms of enabling us to have face recognition implemented quickly. It would have been great if we could also learn the science behind it and info on other similar libraries that we can explore.
Vincent Pokpa Sakouvogui –
I really enjoy the course
Shaily Tolat –
Ay Ay Ay
Jahaan Pardhanani –
Ay Ay Ay