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Learner Reviews & Feedback for Transfer Learning for Food Classification by Coursera Project Network
64 ratings
About the Course
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 of 8 Reviews for Transfer Learning for Food Classification
By Feng J
•Oct 8, 2020
By Deena A
•Sep 4, 2021
By SANJEEV P V
•Jul 29, 2020
By Sarah K
•Sep 27, 2020
By Rayees A L
•Aug 10, 2020
By Selina S
•Oct 15, 2020
By VINAYAK M
•Jul 20, 2020
By MarÃa N
•Sep 10, 2020
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