Transfer Learning for Food Classification(으)로 돌아가기
Coursera Project Network의 Transfer Learning for Food Classification 학습자 리뷰 및 피드백
63개의 평가
강좌 소개
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.
최상위 리뷰
필터링 기준:
Transfer Learning for Food Classification의 8개 리뷰 중 1~8
교육 기관: Feng J
•2020년 10월 8일
I learn a lot of transfer learning by this project. Thank you very much for preparing it so well !
교육 기관: Deena A
•2021년 9월 4일
Well organized, enough content and knowledgeable instructor.
교육 기관: SANJEEV P V
•2020년 7월 29일
Good course and it is very usefull
교육 기관: Sarah K
•2020년 9월 27일
Thanks for the amazing course
교육 기관: Rayees A L
•2020년 8월 10일
Great fully satisfied
교육 기관: Selina S
•2020년 10월 15일
Good Skills
교육 기관: VINAYAK M
•2020년 7월 20일
Excellent
교육 기관: María N
•2020년 9월 10일
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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