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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

por Deena A

4 de sep. de 2021

por SANJEEV P V

29 de jul. de 2020

por Sarah K

27 de sep. de 2020

por Rayees A L

10 de ago. de 2020

por Selina S

15 de oct. de 2020

por VINAYAK M

20 de jul. de 2020

por María N

10 de sep. de 2020