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Facial Expression Classification Using Residual Neural Nets(으)로 돌아가기

Coursera Project Network의 Facial Expression Classification Using Residual Neural Nets 학습자 리뷰 및 피드백

71개의 평가

강좌 소개

In this hands-on project, we will train a deep learning model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect facial expressions. This project could be practically used for detecting customer emotions and facial expressions. By the end of this project, you will be able to: - Understand the theory and intuition behind Deep Learning, Convolutional Neural Networks (CNNs) and Residual Neural Networks. - Import Key libraries, dataset and visualize images. - Perform data augmentation to increase the size of the dataset and improve model generalization capability. - Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend. - Compile and fit Deep Learning model to training data. - Assess the performance of trained CNN and ensure its generalization using various KPIs. - Improve network performance using regularization techniques such as dropout....

최상위 리뷰

필터링 기준:

Facial Expression Classification Using Residual Neural Nets의 10개 리뷰 중 1~10

교육 기관: Nugraha S A

2020년 8월 30일

Wonderful course! I got a lot of new knowledge, particularly about how CNN really works and how to apply it using existing libraries in python! 6/5

교육 기관: Endang P G

2020년 10월 6일

the lecturer is so geniuuuuuuussss, thank you so much

교육 기관: SYED S

2020년 11월 27일

cool and best

교육 기관: Jesus M Z F

2020년 8월 8일

Great course

교육 기관: SASIN N

2020년 8월 10일

Easy Quiz thanks for this course it helped me to understand concept clearly without wasting much of my time.

교육 기관: Partha B

2020년 9월 27일

Good course , for a short and introductory portion for a bigger work.

교육 기관: Mudunuri Y V 9

2021년 7월 29일


교육 기관: Narendra G

2020년 9월 30일

Too short, Guided projects are of no use.

교육 기관: Parag

2022년 2월 13일

This is NOT a guided project. It is a DEMO. All code is prewritten and you only press shift+enter. So you do not type anything and also you cannot download the code from a resources section. I guarantee that you will forget the code before the week has passed and unless you have a good grasp of CNN - you will also forget this.. I challenge a non-expert to solve the mini challenges provided. If you know these concepts, you do not need this project and if you do not - the instructor has not explained this before asking you. How do you solve them??? In the end the he leaves a link - reading which will itself take an hour's time. So how the heck is this a 2 hour guided project?? Another fib: training the model takes about an hour. do you complete a project and then wait to see the results?? Quiz is designed with common sense questions to make you clear easily (I got 100% in second attempt, after correcting a couple of careless mistakes made in the frst attempt). You temporarily understand some topics, make a note that you need to learn these later. You answer a quiz and get a certificate that's worth nothing. Frankly, I felt a solid 3 hours of my life was wasted here. I will never do this type of unprofessionally designed project again. If you feel the same after the course - please stop being nice for no reason and give the appropriate rating. Speak the truth - because THAT is the right thing to do.

교육 기관: Ed S

2020년 12월 14일

For me this was impossible. I did not realize how much previous knowledge was required.