Learner Reviews & Feedback for Facial Expression Recognition with PyTorch by Coursera Project Network
About the Course
expressions. The data that you will use, consists of 48 x 48 pixel grayscale images of faces and there are seven targets (angry, disgust, fear,
happy, sad, surprise, neutral). Furthermore, you will apply augmentation for classification task to augment images. Moreover, you are going to
create train and evaluator function which will be helpful to write training loop. Lastly, you will use best trained model to classify expression
given any input image.
Top reviews
1 - 10 of 10 Reviews for Facial Expression Recognition with PyTorch
By M. A K
•Aug 17, 2022
I dislike this course. Things weren't explained at all and the course finished without even testing the model.
By Gencho Z
•Aug 5, 2022
1-start because the video for last section is missing. Otherwise the project is OK.
By Cheong W L
•Jun 29, 2023
Instructor never complete the last part (inference) of this project. Learner have to find their own solution in order to complete the task. Irresponsible instructor. Not good.
By Amr F
•Nov 2, 2024
code didn't work. Error in last step: Expected input batch_size (32) to match target batch_size (21). Also, running on cuda didn't work. I had to run on cpu. Please verify code works before offering this class on coursera. Also, can you provide a sample of the final code for the students to download?
By Dvsn S
•Aug 14, 2022
It is a good approach to create a facial expression regonition and code explanation is very well, i am happy to learn
By Nafis F
•Sep 1, 2024
Excellent. Learnt a lot. Really
By dhydheep d
•Oct 16, 2024
good
By Alex W
•Sep 5, 2022
This course is good for practing python scripts by creating a facial recognition AI. The course offers an exercise in python, nothing more.
By Solomon M
•Oct 24, 2024
This course very good and great