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Avis et commentaires pour d'étudiants pour Facial Expression Recognition with Keras par Coursera Project Network

4.5
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931 évaluations

À propos du cours

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....

Meilleurs avis

RD

3 juil. 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 oct. 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 !

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par Tee R

22 août 2020

par Ashok T

3 juin 2020

par Omar M A

9 mai 2020

par RUDRA P D

4 juil. 2020

par Feng J

7 oct. 2020

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12 juin 2020

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28 juin 2020

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17 juil. 2020

par AVINASH K Y

1 juin 2020

par TUSHAR S

4 sept. 2020

par Nilesh A

26 avr. 2022

par Murtuza B

21 sept. 2020

par Jiwan

31 juil. 2020

par Sumit K

30 mai 2020

par Tarek A Z

16 juin 2020

par PRIYANKA N

9 juin 2020

par Faizan A B F

23 mai 2020

par Koustubh P

9 juil. 2020

par SHIBU M

8 août 2020

par Adarsh S

21 mai 2020

par Suhaimi C

7 févr. 2021

par Shreya S

6 janv. 2022

par Ling Z P

26 juin 2020

par Aastha A

9 juin 2020

par AARUSH K 1

23 sept. 2020