Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon
EPISODE 269
|
MAY
28,
2019
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About this Episode
In this, the kickoff episode of AI Platforms Vol. 2, we're joined by Adrien Gaidon, Machine Learning Lead at Toyota Research Institute.
Adrien and I caught up to discuss his team's work on deploying distributed deep learning in the cloud, at scale. In our conversation, we discuss the origins of TRI's ML Platform, and specifically their DDL tools, which is built on top of Pytorch, building up infrastructure starting with single nodes, applying DevOps to their research and more.
About the Guest
Adrien Gaidon
Toyota Research Institute
Resources
"
- Toyota Research Institute
- Toyota Guardian
- Toyota Chauffeur
- Toyota Human Support Robot - HSR at the Robocup
- Presentation: Advancing Autonomous Vehicle Development Using Distributed Deep Learning
- Paper: SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
- Exploring the Limitations of Behavior Cloning for Autonomous Driving
- Horovod
- TWIML Presents: AI Platforms Vol. 1
