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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

4.5
звезд
Оценки: 930
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

RD

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.

IK

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:

76–100 из 135 отзывов о курсе Facial Expression Recognition with Keras

автор: Aracatla s

23 авг. 2020 г.

Very good

автор: RAMKUMAR. G

13 авг. 2020 г.

EXCELLENT

автор: Noor k

7 авг. 2020 г.

great jon

автор: Anitha V

9 июля 2020 г.

EXCELLENT

автор: SASI V T

6 июля 2020 г.

EXCELLENT

автор: Saliganti A

11 июня 2020 г.

Excellent

автор: Raman S

30 апр. 2020 г.

very good

автор: Rifat R

8 июня 2020 г.

Awesome

автор: Kamlesh C

5 июля 2020 г.

Thanks

автор: Uppalapati. S S

20 июня 2020 г.

Great

автор: M. S K

10 июля 2020 г.

nice

автор: Anisha V M

5 июля 2020 г.

n

i

c

e

автор: PREETHI G

28 июня 2020 г.

good

автор: p s

17 июня 2020 г.

Nice

автор: tale p

13 июня 2020 г.

good

автор: Vajinepalli s s

11 июня 2020 г.

nice

автор: SIVAGURU M S

9 июня 2020 г.

Good

автор: vivek d c

3 июня 2020 г.

good

автор: GURUSUBRAMANI. S

24 мая 2020 г.

Nice

автор: Md. A R

31 авг. 2020 г.

ok

автор: Prakhar D

11 апр. 2020 г.

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

автор: Nirbhay K

6 июня 2020 г.

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

автор: gajjala s r

21 апр. 2020 г.

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

автор: Edgar I

12 июня 2020 г.

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

автор: Pragya S

22 апр. 2020 г.

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