Volver a Transfer Learning for Food Classification
Opiniones y comentarios de aprendices correspondientes a Transfer Learning for Food Classification por parte de Coursera Project Network
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Acerca del Curso
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.
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1 - 8 de 8 revisiones para Transfer Learning for Food Classification
por Feng J
•8 de oct. de 2020
I learn a lot of transfer learning by this project. Thank you very much for preparing it so well !
por Deena A
•4 de sep. de 2021
Well organized, enough content and knowledgeable instructor.
por SANJEEV P V
•29 de jul. de 2020
Good course and it is very usefull
por Sarah K
•27 de sep. de 2020
Thanks for the amazing course
por Rayees A L
•10 de ago. de 2020
Great fully satisfied
por Selina S
•15 de oct. de 2020
Good Skills
por VINAYAK M
•20 de jul. de 2020
Excellent
por MarÃa N
•10 de sep. de 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.
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