Zurück zu Transfer Learning for Food Classification
Bewertung und Feedback des Lernenden für Transfer Learning for Food Classification von Coursera Project Network
65 Bewertungen
Ãœber den Kurs
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.
Top-Bewertungen
Filtern nach:
1 - 8 von 8 Bewertungen für Transfer Learning for Food Classification
von Feng J
•8. Okt. 2020
I learn a lot of transfer learning by this project. Thank you very much for preparing it so well !
von Deena A
•4. Sep. 2021
Well organized, enough content and knowledgeable instructor.
von SANJEEV P V
•29. Juli 2020
Good course and it is very usefull
von Sarah K
•27. Sep. 2020
Thanks for the amazing course
von Rayees A L
•10. Aug. 2020
Great fully satisfied
von Selina S
•15. Okt. 2020
Good Skills
von VINAYAK M
•20. Juli 2020
Excellent
von MarÃa N
•10. Sep. 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.
Coursera Footer
© 2023 Coursera Inc. Alle Rechte vorbehalten.
