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Facial Expression Recognition with Keras に戻る

Coursera Project Network による Facial Expression Recognition with Keras の受講者のレビューおよびフィードバック



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....



Jul 04, 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.


Jun 12, 2020

Very easy to follow and the instructor was very informative throughout the project. As a beginner myself, it was easy for me to follow along and understand the project


Facial Expression Recognition with Keras: 76 - 100 / 124 レビュー

by Rifat R

Jun 08, 2020


by Kamlesh C

Jul 06, 2020


by Uppalapati. S S

Jun 20, 2020


by Dr. M S K

Jul 10, 2020


by Anisha V M

Jul 05, 2020





by G P P

Jun 28, 2020


by p s

Jun 18, 2020


by tale p

Jun 13, 2020


by Vajinepalli s s

Jun 11, 2020


by sivaguru m

Jun 09, 2020


by vivek d c

Jun 03, 2020



May 24, 2020


by Md. A R

Aug 31, 2020


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 06, 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.


Aug 16, 2020

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

by SJ H

Jun 05, 2020

Loved the project and the hands-on experience. Quick response to doubts !

by Belcy B

Jun 04, 2020

It's very helpful to learn how to implement CNN using keras

by Satyam A

Aug 28, 2020

Has some mistakes in the code, that could be rectified.

by Andres C G H

Aug 19, 2020

The plataform has some problems to disabled block mayus

by Pramay S

Jun 22, 2020

The coding part can be left out for the students.

by El H E

Jul 23, 2020

this is an amazing guide project for beginners .