This lab will use an object recognition/image classification example to teach how to apply deep learning to practical problems. You will learn how to: import and manage large datasets; train, evaluate and compare different deep learning models; extract discriminative information from images, and; use transfer learning to fine-tune neural networks for new tasks. We will use the new MATLAB framework for deep learning and real-world examples including data used for ADAS and autonomous driving. Prerequisites: Prior experience with or familiarity with MATLAB is preferred as MATLAB is used for all examples and exercises. This lab utilizes GPU resources in the cloud, you are required to bring your own laptop.