Master Facial Recognition (A~Z) in C# using Azure Face API

Name: Master Facial Recognition (A~Z) in C# using Azure Face API
Rating: 2.5 (5 reviews)

The ultimate course to learn the key concepts & develop an app. to recognize faces and emotions using Azure Face API

Created byMaen Alaraj, PhD

Last updated 9/2020

English

What you'll learn

Create delightful interface written in C# by using the Azure Cognitive Services based on Azure Face client library
Learn how recognize emotions in facial expressions.
Build high quality, business ready face recognition application.
Learn the basis of cloud computing using Azure web services.
Learn the fundamentals of RESTful API service using Azure Face API.
Learn the key concepts of a synchrnounce programming.

Course content

5 sections • 14 lectures • 1h 32m total length

1.1. Introduction4:17
An introductory information about machine learning and Azure Cognitive Services will be explained.
1.2. Applications and Goals of this course4:17
The possible application of facial recognition-based systems and the main goals of this course will be clarified in this lecture.

4.1. Processing Flow of Face Images6:17
I will explain about the main ideas that behind any facial recognition system and how the computers tackle with such kind of problems based on machine learning techniques.
4.2. What is Azure Cognitive Service (ACS)?4:25
Azure Cognitive Service and its main services will not only be explained in this lecture, but also we will talk how such services can be consumed by using RESTful API call.
Azure Face API (Face Recognition)15:34
Azure Face API and its main operations will be clarified using facial images in this lecture. Also, we will explain how we can evaluate the accuracy of any recognition system.

5.1. Graphical User Interface of Face Recognition System6:45
We will talk about the environment of development where the main functions of our system will be covered thoroughly.
5.2. Create Person Group9:19
We will explain how we can add a Person Group in Azure Cloud programmatically and how we can check its existence using postman. Also, we will explain how we can divide the photos of the subjects into training and test sets.
5.3. Check Person Group3:29
In this lecture, we will learn how we can check the existance of PersonGroup in Azure cloud or not to be used thereafter in facial recognition system.
5.4 Create Person and Get List of Names11:45
In this lecture, I will talk about adding the facial images of persons to the person group and how we can get all the names of persons whose images were uploaded.
5.5. Training Process3:21
The process of training on images will be explained in this lecture.
5.6. Verification7:14
Demonstrate the verification workflow in a facial recognition panel: use an open file dialog to select images, verify candidates, identify the person, and update names after training.

Requirements

Microsoft Azure Account.
Microsoft Visual Studio.
Basics of C# programming.

Description

Inspired by the success of my previous research "Human Identification Using Ear Biometric Features”, I decided to turn some of the contents of Machine Learning into video lessons but this time using face images instead of ear images. This course can be considered as an introductory course for students who would like to understand what does Pattern Recognition mean and how can we apply it in images to recognize the images.

You will learn to leverage Azure Web Services to build an intelligent Machine Learning-based application. Right away we will get our hands dirty and we will start with a challenge where we will build together a simple application and you will know how to make your Machine Learning-based application using Azure Face API.

If you have taken any of my courses, you are familiar with my agile approach of teaching, I teach theory through practice, instead of the common "practice after theory". This is an ultimate course that will give you all the tools you need to progress. This course is perfect for curious developers and or entrepreneurs who want to give life to their business or simply improve their customer service agility.

Now, let us start our journey!

Who this course is for:

Individuals wanting to shift their professional careers.
Individuals interested in face recognition.
Entrepreneurs and business owners who are looking at improving the quality of their customer services.
Individuals who want to developer their own personal assistant.
Individuals who are curious about machine learning and Azure Cognitive Services.

Master Facial Recognition (A~Z) in C# using Azure Face API

What you'll learn

Explore related topics

Course content

1. Overview:2 lectures • 9min

2. Microsoft Azure Cloud2 lectures • 12min

3. Asynchronous Programming1 lecture • 5min

4. Azure Cognitive Services: Face API3 lectures • 26min

5. Application Development6 lectures • 42min

Requirements

Description

Who this course is for: