Name: Facial Expression Recognition with PyTorch
Brand: Coursera Project Network
Availability: OnlineOnly
Rating: 3.9 (11 reviews)

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学生对 Coursera Project Network 提供的 Facial Expression Recognition with PyTorch 的评价和反馈

3.9

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58 个评分

课程概述

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....

1 - Facial Expression Recognition with PyTorch 的 12 个评论（共 12 个）

创建者 M. A K

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Aug 17, 2022

I dislike this course. Things weren't explained at all and the course finished without even testing the model.

创建者 Gencho Z

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Aug 5, 2022

1-start because the video for last section is missing. Otherwise the project is OK.

创建者 Cheong W L

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Jun 29, 2023

Instructor never complete the last part (inference) of this project. Learner have to find their own solution in order to complete the task. Irresponsible instructor. Not good.

创建者 Amr F

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Nov 2, 2024

code didn't work. Error in last step: Expected input batch_size (32) to match target batch_size (21). Also, running on cuda didn't work. I had to run on cpu. Please verify code works before offering this class on coursera. Also, can you provide a sample of the final code for the students to download?