Explainable AI: Scene Classification and GradCam Visualization

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Overview

"Explainable AI: Scene Classification and GradCam Visualization" is a specialized course designed for AI practitioners, data scientists, and researchers interested in understanding and interpreting deep learning models for computer vision tasks. The course focuses on scene classification—teaching machines to identify and categorize different environments—and emphasizes the importance of explainability in AI. Participants will learn how to build and train convolutional neural networks (CNNs) to classify images of various scenes such as urban, rural, indoor, and outdoor settings. The course introduces GradCam...

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 us explain how AI models think.