Learn to build celebrity face recognition

[LeeAndro]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 19 lectures (2h 27m) | Size: 993.9 MB

Build a strong foundation in face recognition Systems with this tutorial for bners.

Celebrity Face recognition using opencv and dlib

How to recognize face in given set of images

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Course Description

Learn to build a celebrity face recognition application

Understanding of Face Recognition

Train a model to recognize a celerity face

Predict celebrity name for a given celebrity image

Support Vector Machine classification algorithm

Histogram of Oriented Gradients

A Powerful Skill at Your Fingertips Faces recognition has become popular in recent years due to its extensive use in criminal surveillance, x-ray. The face recognition process identifies faces in an image and facial expressions. Research scientists, neurologists, and psychologists use this process extensively to understand how behavior and another part of the body are affected by facial expressions.

Learning the fundamentals of a face recognition system puts a powerful and handy tool at your fingertips. Python and Jupyter are free, easy to learn, have excellent documentation.

Jobs in the face recognition systems area are plentiful, and learning underlying technologies like HOG, SVM will give you a strong edge.

face recognition systems Systems are becoming very popular. P Video is a famous example of face recognition systems in action. face recognition systems are vital in finding the correct images in the big repository of videos. Learning face recognition with SVM will help you become a face recognition system developer who is in high demand.

Content and Overview

This course teaches you how to build recommendation systems using open-source Python, face recognition library, and Jupyter framework. You will work along with me step by step to build the following answers.

Build a training program that traverses through a set of images and train a model using supervised learning

Build a real-world inference application that takes in an image, predicts celebrity name, and draw a rectangle with a name around the face

What am I going to get from this course

Learn to build training and inference to recognize celebrities in an image from a professional trainer from your own desk.

Over 10 lectures teaching you how to build real-world recommendation systems

Suitable for bner programmers and ideal for users who learn faster when shown.

Visual training method, offering users increased retention and accelerated learning.

Breaks even the most complex applications down into simplistic steps.

Offers challenges to students to enable the reinforcement of concepts. Also, solutions are described to validate the challenges.

Bner Python developers who are curious about recommendations




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