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Back to Facial Expression Recognition with Keras

Learner Reviews & Feedback for Facial Expression Recognition with Keras by Coursera Project Network

4.5
stars
900 ratings
134 reviews

About the Course

In this 2-hour long tutorial, you will build and train a convolutional neural network (CNN) in Keras from scratch to recognize facial expressions. The data consists of 48x48 pixel grayscale images of faces. The objective is to classify each face based on the emotion shown in the facial expression into one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral). You will use OpenCV to automatically detect faces in images and draw bounding boxes around them. Once you have trained, saved, and exported the CNN, you will directly serve the trained model to a web interface and perform real-time facial expression recognition on video and image data. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

RD
Jul 3, 2020

All the concepts are well explained. The project gives a nice insight about how we can integrate different ML frameworks to build a project and also how to deploy the model as a web app by Flask.

IK
Oct 26, 2020

This is a great hands-on project ! It is very well designed, and the instructor guides you to do it step by step. I enjoy this learning and practicing process a lot. Thank you !

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76 - 100 of 132 Reviews for Facial Expression Recognition with Keras

By RAMKUMAR. G

Aug 13, 2020

EXCELLENT

By noor k

Aug 7, 2020

great jon

By Anitha V

Jul 9, 2020

EXCELLENT

By SASI V T

Jul 6, 2020

EXCELLENT

By Saliganti A

Jun 11, 2020

Excellent

By Raman S

Apr 30, 2020

very good

By Rifat R

Jun 8, 2020

Awesome

By Kamlesh C

Jul 5, 2020

Thanks

By Uppalapati. S S

Jun 20, 2020

Great

By sunil k

Jul 10, 2020

nice

By Anisha V M

Jul 5, 2020

n

i

c

e

By G P P

Jun 28, 2020

good

By p s

Jun 17, 2020

Nice

By tale p

Jun 13, 2020

good

By Vajinepalli s s

Jun 11, 2020

nice

By sivaguru m

Jun 9, 2020

Good

By vivek d c

Jun 3, 2020

good

By GURUSUBRAMANI. S

May 24, 2020

Nice

By Md. A R

Aug 31, 2020

ok

By Prakhar D

Apr 11, 2020

The course in itself was good, but the rhyme interface kept wasting time by freezing either the videos or the cloud computer

By Nirbhay K N

Jun 6, 2020

So much to learn from this course but it was very challenging to understand and implement as a beginner.

By gajjala s r

Apr 21, 2020

need a bit more explanation and more projects its not enough to get on....but for beginners its the best

By Edgar I

Jun 12, 2020

The code of the complet project is not available, over all the flash and the flow of all project

By Pragya S

Apr 22, 2020

Nice course for those who have prior knowledge of the basics of the related topics.

By RAHUL B

Aug 16, 2020

It's a good guided project. This project will help you to understand many things.