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Transfer Learning for Food Classification に戻る

Coursera Project Network による Transfer Learning for Food Classification の受講者のレビューおよびフィードバック

4.7
62件の評価
8件のレビュー

コースについて

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....

人気のレビュー

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Transfer Learning for Food Classification: 1 - 8 / 8 レビュー

by Feng J

2020年10月8日

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

by Deena A

2021年9月4日

Well organized, enough content and knowledgeable instructor.

by SANJEEV P V

2020年7月29日

Good course and it is very usefull

by Sarah K

2020年9月27日

Thanks for the amazing course

by Rayees A L

2020年8月10日

Great fully satisfied

by Selina S

2020年10月15日

Good Skills

by VINAYAK M

2020年7月20日

Excellent

by María N

2020年9月10日

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.