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.