Face Mask Recognition: Deep Learning based Desktop App faq

star-rating
4.9
learnersLearners: 2,415
instructor Instructor: G SudheerData Science AnywhereConvolution Innovations instructor-icon
duration Duration: duration-icon

This course provides a unique opportunity for new learners to develop their own computer vision flask desktop application project using machine learning, Python, and deploy it in the cloud. Learners will be guided through the process of installing Python and the necessary libraries, as well as learning image processing techniques in OpenCV and the mathematical concepts behind the images. They will also learn how to extract features from images using deep neural networks, train different deep learning models like convolutional neural networks, and write code for performing predictions with the CNN model. Finally, learners will develop a desktop application and make predictions to live video streaming. With Face Mask Recognition: Deep Learning based Desktop App, learners can gain the skills to build their own computer vision project and deploy it in the cloud.

ADVERTISEMENT

Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2022-06-08

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course offers new learners the chance to create their own computer vision flask desktop application project using machine learning, Python, and deploying it in the cloud. Learners will be guided through the process of installing Python and the necessary libraries, as well as learning image processing techniques in OpenCV and the mathematical concepts behind the images. They will also be taught how to extract features from images using deep neural networks, train different deep learning models such as convolutional neural networks, and write code for performing predictions with the CNN model. Finally, learners will develop a desktop application and make predictions to live video streaming.

Course Syllabus

Introduction

Setting Up Project

Data Preparation & Preprocessing

Face Recognition Model for Mask Identification with Deep Learning

Predictions with Face Recognition model for Face Mask

PyQt Basics

Desktop App with PyQt

BONUS

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Face Mask Recognition: Deep Learning based Desktop App

faq FAQ for Face Detection Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 2415 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Face Detection courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.