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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: 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


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 !

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126–135 из 135 отзывов о курсе Facial Expression Recognition with Keras

автор: Deepak Y V

19 июля 2020 г.

Course is a basic one. Take this project only if you are looking for a beginner level introduction into CNN with Keras. Not for people who have already done a course or has decent knowledge/hands on with CNN and Keras.

автор: Keyur R S

20 июля 2020 г.

Rhyme software is too much slow and it is very boaring to work on that and also font is too much small.

автор: David L

17 июня 2021 г.

The m​ajority of the questions are not answered.

автор: Simon S R

4 сент. 2020 г.

Still much to improve

автор: Stanislav M

7 июня 2020 г.

This is the worst course I've ever seen anywhere (and I've seen a lot), an absolute useless waste of time and money. No explanations related to the subject whatsoever: nothing about the model architecture, hyperparameters, or even general approach. Just we use X because we use X, and more details are "beyond the scope...". References to Flask and OpenCV are ridiculous (imagine trying to learn a foreign language in 20 minutes). ...And this is not mentioning all the mistakes and errors from the author during the actual explanation.

The ONLY thing you can practice here is typing on your keyboard.

автор: Roshini s

22 мая 2021 г.

the instructor should have explained how to run the code in one's own pc at the end because one wants to have his hard work with himself. I did the whole course and at the end when tried to replicate in my pc . i was unable to do it . because there were lot of libraries that needed to be installed and I was getting many error in my pc. whereas I didn't get any error in their console at the end couldn't figure out the problem and felt bad about spending my time on this project

автор: Franck D

2 окт. 2020 г.

Very disappointed, if i can give Zero stars i would. the cloud sucks, also instructor did not give all the steps to run the project on your computer. Don't waist your money

автор: Rachita P

5 июня 2020 г.

not for someone with no background in programming/python etc. They should have mentioned this! Disappointed

автор: Pranav S

15 мая 2020 г.

i cant use it again and finding difficulty in running the code on my system. worst course ever

автор: William S V

6 окт. 2020 г.

All the course is copy and page code. Don't buy it.