Abstract

Deep Learning Infrastructure for Autonomous Vehicles

We'll introduce deep learning infrastructure for building and maintaining autonomous vehicles. This includes techniques for managing the lifecycle of deep learning models from definition, training and deployment to reloading and life-long learning. DNN autocurates and pre-labels data in the loop...


Session No: SIL8114
Speaker: Adam Henryk Grzywaczweski
Type:

Autonomous Vehicle Technologies

Date: Thursday - October 18, 2018 04:00 PM - 04:35 PM
Location: Hall B
Topics: Deep Learning and AI, Autonomous Vehicle Technologies, AI in Healthcare

We'll introduce deep learning infrastructure for building and maintaining autonomous vehicles. This includes techniques for managing the lifecycle of deep learning models from definition, training and deployment to reloading and life-long learning. DNN autocurates and pre-labels data in the loop. Given data, it finds the best run-time optimized deep learning models. With these methodologies, one takes data from the application and feeds DL predictors to it. This infrastructure is divided into multiple tiers and is modular, with each of the modules containerized to lower infrastructures like GPU-based cloud infrastructure.