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Coursera

Explainable AI: Scene Classification and GradCam Visualization

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Overview

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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.

Syllabus

  • Scene Classification and Explainable AI
    • In this hands-on project, we will train deep learning model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of scenery in images. This project could be practically used for detecting the type of scenery from the satellite images. In addition, this project will cover the use of a technique known as Grad-Cam to help us explain how AI models think.

Taught by

Ryan Ahmed

Reviews

5.0 rating, based on 1 Class Central review

4.6 rating at Coursera based on 59 ratings

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  • Anonymous
    Late on the night of the 18th, after wrapping up work on set, Zhang Yishan took part in a group interview with outlets including Jiupai News. In the production, Liu Xiao Ling Tong plays his mentor, Jin Kui; both on and off set, Liu Xiao Ling Tong us…
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