Chevron Left
Вернуться к Facial Expression Recognition with Keras

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

Оценки: 930

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:

51–75 из 135 отзывов о курсе Facial Expression Recognition with Keras

автор: Ashutosh P

29 мая 2020 г.

It's a very good hand's on course

автор: AGUS P

25 сент. 2020 г.

I am satisfied with this course

автор: Hetti A J H

4 июня 2020 г.

This guided project is Great !


2 авг. 2020 г.

Good project based learning

автор: Kartik K S

5 июля 2020 г.

Great Course Thank a Lot!!!

автор: Ritika s

21 июня 2020 г.

hands on project is awesome

автор: Hamza A I

1 мая 2020 г.

nice classification project

автор: lakshika p

8 июня 2020 г.


автор: Neeraj S

18 мая 2020 г.

Exceptional way to guide.

автор: Gangone R

13 июня 2020 г.

very useful course

автор: KAZI Z A

3 июня 2020 г.

Awesome experience

автор: Utkarsh S

10 сент. 2020 г.

Excellent content

автор: gaurav k

28 июня 2020 г.

i love the course

автор: ANKIT A

4 июня 2020 г.

Great experience.

автор: José M O M

10 авг. 2020 г.

Thanks coursera!

автор: RION L G S

30 июня 2020 г.

Very well guided


5 июня 2020 г.

very interesting

автор: SANJANA R J

4 июня 2020 г.

i just loved it

автор: Sharmin S

17 июня 2020 г.

It was great.

автор: Md P A

2 июня 2020 г.

Good course.

автор: Trishna N

15 февр. 2021 г.


автор: sarithanakkala

5 июня 2020 г.

Very useful

автор: Partheepan

9 апр. 2020 г.

very useful

автор: Gregory G J

19 янв. 2021 г.

Thumbs Up!

автор: Yu-Chen L

13 июня 2020 г.

Very good!