Retour à Facial Expression Recognition with PyTorch
Avis et commentaires pour d'étudiants pour Facial Expression Recognition with PyTorch par Coursera Project Network
13 évaluations
À propos du cours
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.
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1 - 4 sur 4 Avis pour Facial Expression Recognition with PyTorch
par Dvsn S
•14 août 2022
It is a good approach to create a facial expression regonition and code explanation is very well, i am happy to learn
par Alex W
•5 sept. 2022
This course is good for practing python scripts by creating a facial recognition AI. The course offers an exercise in python, nothing more.
par M. A K
•17 août 2022
I dislike this course. Things weren't explained at all and the course finished without even testing the model.
par Gencho Z
•5 août 2022
1-start because the video for last section is missing. Otherwise the project is OK.
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