Chevron Left
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

4.7
estrellas
59 calificaciones
7 reseña

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....
Filtrar por:

1 - 7 de 7 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 SANJEEV P V

29 de jul. de 2020

Good course and it is very usefull

por sara l 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 María 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.