Вернуться к Transfer Learning for Food Classification
Отзывы учащихся о курсе Transfer Learning for Food Classification от партнера Coursera Project Network
Оценки: 63
О курсе
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.
Лучшие рецензии
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1–8 из 8 отзывов о курсе Transfer Learning for Food Classification
автор: Feng J
•8 окт. 2020 г.
I learn a lot of transfer learning by this project. Thank you very much for preparing it so well !
автор: Deena A
•4 сент. 2021 г.
Well organized, enough content and knowledgeable instructor.
автор: SANJEEV P V
•29 июля 2020 г.
Good course and it is very usefull
автор: Sarah K
•27 сент. 2020 г.
Thanks for the amazing course
автор: Rayees A L
•10 авг. 2020 г.
Great fully satisfied
автор: Selina S
•15 окт. 2020 г.
Good Skills
автор: VINAYAK M
•20 июля 2020 г.
Excellent
автор: María N
•10 сент. 2020 г.
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.
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