Facial Expression Recognition with PyTorch
By Coursera
on Coursera
· Data Science
About This 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.
Instructor
Parth Dhameliya
Frequently Asked Questions
How much does Facial Expression Recognition with PyTorch cost?
Visit the Facial Expression Recognition with PyTorch course page for current pricing and available discounts.
Who teaches Facial Expression Recognition with PyTorch ?
Facial Expression Recognition with PyTorch is taught by Parth Dhameliya, Coursera.
What skill level is Facial Expression Recognition with PyTorch for?
This course is designed for all levels learners.