Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269

Previous Episode: Are We Being Honest About How Difficult AI Really Is? w/ David Ferrucci - TWiML Talk #268

Next Episode: Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270

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 beginning and gradual scaling up of TRI's platform.

• Their distributed deep learning methods, including their use of stock Pytorch, and much more!

Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)