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Learner Reviews & Feedback for Explainable AI: Scene Classification and GradCam Visualization by Coursera Project Network

44 ratings
7 reviews

About the Course

In this 2 hour long hands-on project, we will train a deep learning model to predict the type of scenery in images. In addition, we are going to use a technique known as Grad-Cam to help explain how AI models think. This project could be practically used for detecting the type of scenery from the satellite images....

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1 - 7 of 7 Reviews for Explainable AI: Scene Classification and GradCam Visualization

By Vipul G

Jul 27, 2020

I like the course, it is exceptional.

But if you provide the materials(train/test files) to download it will be better to apply it on our own

By Alexandros O

Dec 25, 2020

(+) Very insightful introductory project course to CNN and XAI. The instructor was explaining as much as possible to all parts. Providing such images was really helpful.

(-) There were several mistakes in the code. A prerequisite for this course could also be the mathematical background and thus, more explanation on why and how each mentioned-part could be provided. Not all explanation parts for XAI are provided to jpnb for students.

By Jesus M Z F

Jul 19, 2020

Excelente curso, Muchas gracias

By Aya

Aug 1, 2020

very helpful

By Kamlesh C

Jul 27, 2020


By Samy S S E

Aug 26, 2020

it's an exciting course it covers all machine learning life cycle steps in a short time and organizable way

By Simon S R

Sep 2, 2020

This project should be more about GradCam Visualization and should dive deeper into its details, but not provide an explicit overview of all the steps necessary to build the original model.