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Avis et commentaires pour d'étudiants pour Facial Expression Classification Using Residual Neural Nets par Coursera Project Network

4.6
étoiles
63 évaluations
8 avis

À propos du cours

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....

Meilleurs avis

NA
29 août 2020

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

EG
5 oct. 2020

the lecturer is so geniuuuuuuussss, thank you so much

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1 - 9 sur 9 Avis pour Facial Expression Classification Using Residual Neural Nets

par Nugraha S A

30 août 2020

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

par Endang P G

6 oct. 2020

the lecturer is so geniuuuuuuussss, thank you so much

par SYED S

27 nov. 2020

cool and best

par Jesus M Z F

8 août 2020

Great course

par SASIN N

10 août 2020

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

par Partha B

27 sept. 2020

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

par Mudunuri Y V 9

29 juil. 2021

super

par Narendra G

30 sept. 2020

Too short, Guided projects are of no use.

par Ed/Deb S

14 déc. 2020

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