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2017 GTC San Jose

L7129 - Image Classification & Object Detection using Deep Learning & MATLAB

Session Speakers
Session Description

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.


Additional Session Information
Beginner
Instructor-Led Lab
Computer Vision and Machine Vision Deep Learning and AI
Automotive Higher Education / Research
2 hours
Session Schedule