Chevron Left
Voltar para Facial Expression Recognition with Keras

Comentários e feedback de alunos de Facial Expression Recognition with Keras da instituição Coursera Project Network

4.5
estrelas
931 classificações

Sobre o curso

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....

Melhores avaliações

RD

3 de jul de 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.

IK

26 de out de 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 !

Filtrar por:

76 — 100 de 135 Avaliações para o Facial Expression Recognition with Keras

por Aracatla s

23 de ago de 2020

por RAMKUMAR. G

13 de ago de 2020

por Noor k

7 de ago de 2020

por Anitha V

9 de jul de 2020

por SASI V T

6 de jul de 2020

por Saliganti A

11 de jun de 2020

por Raman S

30 de abr de 2020

por Rifat R

8 de jun de 2020

por Kamlesh C

5 de jul de 2020

por Uppalapati. S S

20 de jun de 2020

por M. S K

10 de jul de 2020

por Anisha V M

5 de jul de 2020

por PREETHI G

28 de jun de 2020

por p s

17 de jun de 2020

por tale p

13 de jun de 2020

por Vajinepalli s s

11 de jun de 2020

por SIVAGURU M S

9 de jun de 2020

por vivek d c

3 de jun de 2020

por GURUSUBRAMANI. S

24 de mai de 2020

por Md. A R

31 de ago de 2020

por Prakhar D

11 de abr de 2020

por Nirbhay K

6 de jun de 2020

por gajjala s r

21 de abr de 2020

por Edgar I

12 de jun de 2020

por Pragya S

22 de abr de 2020