Chevron Left
Back to Facial Expression Recognition with Keras

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

933 ratings

About the Course

In this 2-hour long project-based course, 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


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.


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 !

Filter by:

26 - 50 of 135 Reviews for Facial Expression Recognition with Keras

By Ranushka L S

Jun 16, 2020

By Salman A F

Jul 8, 2020

By Akib J I

Jun 1, 2020

By Ruthie D L P

Jan 20, 2021

By Sandeepa D K

Jul 22, 2020


Sep 17, 2020

By Dr.Kranti Z

Jun 2, 2020

By Akos K

May 29, 2020

By Ragib A A

Sep 26, 2020

By Ravi P B

Jun 17, 2020

By Satheesh g

Jun 8, 2020


May 29, 2020

By Shaswata D

May 15, 2020


Jun 8, 2020

By Abhishek P G

Jun 2, 2020

By Rohit R C

Aug 19, 2020

By bhavesh s

Aug 1, 2020

By Kevlin

Sep 8, 2020

By Deepak V

Jun 1, 2020

By Deepanshu M

May 29, 2020


May 21, 2020

By Anisetti S K

Apr 24, 2020


Sep 13, 2020

By Ashutosh K S

May 29, 2020


Jul 15, 2020