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2017 GTC San Jose

L7118 - From Trained Neural Network Model to Deployment for Inference (Presented by NVIDIA Deep Learning Institute)

Session Speakers
Session Description

NVIDIA TensorRT is a high-performance neural network inference engine for production deployment of deep learning applications. This lab provides hands-on experience using TensorRT to optimize, validate, and deploy trained neural networks for inference in a self-driving car application. Prerequisites: C/C++ programming and basic knowledge of deep learning.


Additional Session Information
Beginner
Instructor-Led Lab
Deep Learning and AI Self-Driving Cars
Automotive General
2 hours
Session Schedule