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學生對 Coursera Project Network 提供的 Facial Expression Recognition with PyTorch 的評價和反饋

課程概述

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 - Facial Expression Recognition with PyTorch 的 4 個評論(共 4 個)

創建者 Dvsn S

2022年8月14日

創建者 Alex W

2022年9月5日

創建者 M. A K

2022年8月17日

創建者 Gencho Z

2022年8月5日