Chevron Left
Back to Facial Expression Recognition with PyTorch

Learner Reviews & Feedback for Facial Expression Recognition with PyTorch by Coursera Project Network

31 ratings

About the Course

In this 2-hour long guided-project course, you will load a pretrained state of the art model CNN and you will train in PyTorch to classify facial 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

Filter by:

1 - 5 of 5 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 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 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.