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学生对 Coursera Project Network 提供的 Transfer Learning for Food Classification 的评价和反馈

62 个评分
8 条评论


In this hands-on project, we will train a deep learning model to predict the type of food and then fine tune the model to improve its performance. This project could be practically applied in food industry to detect the type and quality of food. In this 2-hours long project-based course, you will be able to: - Understand the theory and intuition behind Convolutional Neural Networks (CNNs). - Understand the theory and intuition behind transfer learning. - Import Key libraries, dataset and visualize images. - Perform data augmentation. - Build a Deep Learning Model using Pre-Trained InceptionResnetV2. - Compile and fit Deep Learning model to training data. - Assess the performance of trained CNN and ensure its generalization using various KPIs....



1 - Transfer Learning for Food Classification 的 8 个评论(共 8 个)

创建者 Feng J

Oct 8, 2020

I learn a lot of transfer learning by this project. Thank you very much for preparing it so well !

创建者 Deena A

Sep 4, 2021

Well organized, enough content and knowledgeable instructor.


Jul 29, 2020

Good course and it is very usefull

创建者 Sarah K

Sep 27, 2020

Thanks for the amazing course

创建者 Rayees A L

Aug 10, 2020

Great fully satisfied

创建者 Selina S

Oct 15, 2020

Good Skills


Jul 20, 2020


创建者 María N

Sep 10, 2020

The instructor does the classes very simple and well informative. The only one issues is the Rhyme app online which does not allow you to reset all the workspace to default mode so I made serious mistakes that lead me to many errors.