Explainable AI: Scene Classification and GradCam Visualization
About this Course
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.Created by: Coursera Project Network
Related Online Courses
In this class, you\'ll dive into Imba, the programming language used to build scrimba.com. Imba, a compile-to-JavaScript language, packs a punch with nifty features for whipping up web apps,... more
This specialization presents the first comprehensive treatment of the foundations of computer vision. It focuses on the mathematical and physical underpinnings of vision and has been designed for... more
Hello everyone and welcome to this new hands-on project on Machine Learning hyperparameters optimization. In this project, we will optimize machine learning regression models parameters using... more
This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL. Learners will be... more
Although modern React tends to use functional components, knowledge of class components remains a useful skill to have in your toolbox. You might find yourself dealing with legacy code, or a... more
Powered by
