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Вернуться к Facial Expression Recognition with PyTorch

Отзывы учащихся о курсе Facial Expression Recognition with PyTorch от партнера Coursera Project Network

Оценки: 13

О курсе

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 из 4 отзывов о курсе Facial Expression Recognition with PyTorch

автор: Dvsn S

14 авг. 2022 г.

автор: Alex W

5 сент. 2022 г.

автор: M. A K

17 авг. 2022 г.

автор: Gencho Z

5 авг. 2022 г.