Prerequisites: Experience with CNNs.
In this course, you’ll learn how to design, train, and deploy deep neural networks for autonomous vehicles using the NVIDIA DRIVE? PX development platform. Learn how to:
- Integrate sensor input using the DriveWorks software stack
- Train a semantic segmentation neural network
- Optimize, validate, and deploy a trained neural network using TensorRT
Upon completion of this course, students will be able to create and optimize perception components for autonomous vehicles using DRIVE PX.
Level: Intermediate
Prerequisites: ‘Fundamentals of Deep Learning for Computer Vision’ or similar deep learning experience
Duration: 8 hours
Framework: TensorFlow, DIGITS, TensorRT
Prerequisites:
Experience with CNNs.
Prerequisites:
Experience with CNNs.