Explainable AI: Scene Classification and GradCam Visualization at Coursera Project Network

📖 Introduction

The Coursera Project Network is a unique initiative within Coursera, a leading online learning platform founded in 2012. It is not a university, but rather a public, open-access platform that facilitates the creation and delivery of hands-on projects by experts and educators. The Coursera Project Network is distinguished by its focus on practical, project-based learning, enabling learners to apply their skills in real-world scenarios. This approach allows individuals to gain tangible, job-ready skills quickly and efficiently.

📚 About the Program

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.Learn step-by-stepIn a video that plays in a split-screen with your work area, your instructor will walk you through these steps:•Understand the theory and intuition behind Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs)•Apply Python libraries to import, pre-process and visualize images•Perform data augmentation to improve model generalization capability•Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend•Compile and fit Deep Learning model to training data•Assess the performance of trained CNN and ensure its generalization using various KPIs such as accuracy, precision and recall•Understand the theory and intuition behind GradCam and Explainable AI•Visualize the Activation Maps used by CNN to make predictions using Grad-CAMRecommended experienceBasic python programming and mathematics.

🏫 About the University

The Coursera Project Network offers a wide range of guided projects across various domains, including business, technology, data science, and more. These projects are designed to be completed in a short time frame, typically a few hours, providing learners with a quick and immersive learning experience. Through step-by-step instructions and hands-on practice, participants can build confidence in their abilities and directly apply what they learn to their personal or professional pursuits. The Coursera Project Network empowers learners to bridge the gap between theoretical knowledge and practical application, making it a valuable resource for skill development and career advancement.

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Explainable AI: Scene Classification and GradCam Visualization

Coursera Project Network

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