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Coursera Project Network

Explainable AI: Scene Classification and GradCam Visualization

Coursera Project Network via Coursera

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

4.7 rating at Coursera based on 56 ratings

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