YoVDO

Explainable AI: Scene Classification and GradCam Visualization

Offered By: Coursera Project Network via Coursera

Tags

Artificial Intelligence Courses Deep Learning Courses Computer Vision Courses Explainable AI Courses

Course Description

Overview

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

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera Introduction to Computer Vision
Georgia Institute of Technology via Udacity