This course is designed to help new learners understand the concepts of face detection and recognition from a SQL Database using C#. Learn how to create a database, assign fields, and establish relationships between primary fields and other fields. Additionally, the course covers the face training module, allowing users to capture faces from a real-time camera, train faces, and save information to the database. The face recognition module is also covered, which checks user faces from a real-time camera and matches them with the stored database images. Enroll in this course to gain the skills to detect and recognize faces from a SQL Database using C#. For those who have not taken the previous course on face recognition from OpenCV, the course code is provided.
Learn to build celebrity face recognition
3.0
Udemy2 learners
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This course is perfect for those looking to learn how to build a celebrity face recognition application. It provides a strong foundation in face recognition systems, covering topics such as understanding of face recognition, training a model to recognize a celebrity face, predicting celebrity name for a given celebrity image, and using the Support Vector Machine classification algorithm and Histogram of Oriented Gradients. Learners will gain a powerful skill at their fingertips, as well as the knowledge to become a face recognition system developer, which is in high demand. With challenges to reinforce concepts and solutions to validate the challenges, this course is the perfect way to learn how to build a celebrity face recognition application.
Deep Learning in Practice III: Face Recognition
4.4
Udemy241 learners
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This course, Deep Learning in Practice III: Face Recognition, is designed to provide learners with a comprehensive introduction to face recognition with deep learning. Anis Koubaa will guide learners through the whole loop of face recognition systems, from extracting the face from an image to creating a fingerprint of the face. Learners will also learn how to develop a Python application that performs the operations. This course is essential due to the importance of face recognition systems in real-world applications. With basic knowledge of Python programming and a basic understanding of deep learning and TensorFlow, learners will be able to develop their own applications and integrate them into their projects. Don't miss this opportunity to learn the fundamentals of face recognition with deep learning!
Computer Vision: Face Recognition Quick Starter in Python
4.3
Udemy5,685 learners
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This course is designed to provide new learners with an introduction to face recognition using Python. It covers topics such as Python Deep Learning based Face Detection, Face Recognition, Emotion, Gender and Age Classification, as well as popular models such as Haar Cascade, HOG, SSD, MMOD, MTCNN, EigenFace, FisherFace, VGGFace, FaceNet, OpenFace, and DeepFace. Learn how to prepare your computer for Python coding, install the necessary dependencies and libraries, detect faces from images and videos, customize the face detection program, and recognize facial expressions using pre-trained deep learning models. With this Computer Vision: Face Recognition Quick Starter in Python course, you will be able to master the basics of face recognition in no time!
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