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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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26 - 50 of 132 Reviews for Facial Expression Recognition with Keras

By Salman A F

Jul 8, 2020

The course was straightforward into the main idea, but seems that the VM is a bit slow

By Akib J I

Jun 1, 2020

perfect course for beginners. step by step explanation makes it easier for learners.

By Ruthie D L P

Jan 20, 2021

If you have appropriate prerequisites you will really enjoy this introduction.

By Sandeepa D K

Jul 22, 2020

perfect tutor for this kind of interactive course. Thank you for having this.

By BHAVYA V

Sep 17, 2020

It was a good course. I was looking for something like this from a long time

By Dr.Kranti Z

Jun 2, 2020

A very good course on how to put on theoretical knowledge into actual world.

By Akos K

May 29, 2020

Great course! It is fully on practical way! Virtual desktop is easy to use.

By Ragib A A

Sep 26, 2020

Great Instructor. Lots of things got covered in this course. Recommended.

By Ravi P B

Jun 17, 2020

Excellent project and excellent delivery.Instructor has been fantastic.

By Satheesh g

Jun 8, 2020

these type of guided projects boosts the interest in certain skill.

By LEELAVATHY N

May 29, 2020

GREAT EXPERIENCE, LEARNING BY DOING PROJECT - ONLINE TRAINING!

By Shaswata D

May 15, 2020

Good project for those who previously have an idea about CNN.

By MRS. H R G

Jun 8, 2020

its a good course to know about "Reading between Lines"

By Abhishek P G

Jun 2, 2020

Facial Expression Recognition with Keras for projects

By Rohit R C

Aug 19, 2020

Great, better than most of the hand-on-projects.

By Bhavesh S

Aug 1, 2020

Self-sufficient if you have background knowledge

By Kevlin

Sep 8, 2020

Interesting Project helped to gain a new skill.

By Deepak V

Jun 1, 2020

A great to put your skills under a project

By Deepanshu M

May 29, 2020

It is really good and easy to understand.

By MRS. S D A

May 21, 2020

GAINED KNOWLEDGE ABOUT FACIAL RECOGNITION

By Anisetti S K

Apr 24, 2020

Quite Tough but its absolutely perfect

By MOHAMMED K

Sep 13, 2020

The best project I have done till now

By ASHUTOSH K S

May 29, 2020

very good lesson , learnt very well

By SHIVANGI J

Jul 15, 2020

I really enjoyed this Project ...

By Ashutosh P

May 29, 2020

It's a very good hand's on course