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Вернуться к Facial Expression Recognition with Keras

Отзывы учащихся о курсе Facial Expression Recognition with Keras от партнера Coursera Project Network

Оценки: 928
Рецензии: 137

О курсе

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....

Лучшие рецензии


3 июля 2020 г.

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.


26 окт. 2020 г.

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 !

Фильтр по:

26–50 из 135 отзывов о курсе Facial Expression Recognition with Keras

автор: Ranushka L S

16 июня 2020 г.

Best course for learning how to human emotions recognize using keras. Thank you very much.

автор: Salman A F

8 июля 2020 г.

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

автор: Akib J I

1 июня 2020 г.

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

автор: Ruthie D L P

20 янв. 2021 г.

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

автор: Sandeepa D K

22 июля 2020 г.

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

автор: BHAVYA V

17 сент. 2020 г.

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

автор: Dr.Kranti Z

2 июня 2020 г.

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

автор: Akos K

29 мая 2020 г.

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

автор: Ragib A A

26 сент. 2020 г.

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

автор: Ravi P B

17 июня 2020 г.

Excellent project and excellent delivery.Instructor has been fantastic.

автор: Satheesh g

8 июня 2020 г.

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


29 мая 2020 г.


автор: Shaswata D

15 мая 2020 г.

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

автор: MRS. H R G

8 июня 2020 г.

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

автор: Abhishek P G

2 июня 2020 г.

Facial Expression Recognition with Keras for projects

автор: Rohit R C

19 авг. 2020 г.

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

автор: bhavesh s

1 авг. 2020 г.

Self-sufficient if you have background knowledge

автор: Kevlin

8 сент. 2020 г.

Interesting Project helped to gain a new skill.

автор: Deepak V

1 июня 2020 г.

A great to put your skills under a project

автор: Deepanshu M

29 мая 2020 г.

It is really good and easy to understand.

автор: MRS. S D A

21 мая 2020 г.


автор: Anisetti S K

24 апр. 2020 г.

Quite Tough but its absolutely perfect


13 сент. 2020 г.

The best project I have done till now

автор: Ashutosh K S

29 мая 2020 г.

very good lesson , learnt very well


15 июля 2020 г.

I really enjoyed this Project ...