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Вернуться к Facial Expression Classification Using Residual Neural Nets

Отзывы учащихся о курсе Facial Expression Classification Using Residual Neural Nets от партнера Coursera Project Network

4.6
звезд
Оценки: 63
Рецензии: 8

О курсе

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....

Лучшие рецензии

NA
29 авг. 2020 г.

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 окт. 2020 г.

the lecturer is so geniuuuuuuussss, thank you so much

Фильтр по:

1–9 из 9 отзывов о курсе Facial Expression Classification Using Residual Neural Nets

автор: Nugraha S A

30 авг. 2020 г.

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

автор: Endang P G

6 окт. 2020 г.

the lecturer is so geniuuuuuuussss, thank you so much

автор: SYED S

27 нояб. 2020 г.

cool and best

автор: Jesus M Z F

8 авг. 2020 г.

Great course

автор: SASIN N

10 авг. 2020 г.

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

автор: Partha B

27 сент. 2020 г.

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

автор: Mudunuri Y V 9

29 июля 2021 г.

super

автор: Narendra G

30 сент. 2020 г.

Too short, Guided projects are of no use.

автор: Ed/Deb S

14 дек. 2020 г.

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