Facial Expression Recognition with PyTorch
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.
Convolutional Neural Network
由 DD 提供Aug 13, 2022
It is a good approach to create a facial expression regonition and code explanation is very well, i am happy to learn
由 AW 提供Sep 4, 2022
This course is good for practing python scripts by creating a facial recognition AI. The course offers an exercise in python, nothing more.