Slow down and change one thing at a time - Advancing AI research with Josh Tobin

07.07.2020 - By Gradient Dissent - A Machine Learning Podcast by W&B

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Josh Tobin is a researcher working at the intersection of machine learning and robotics. His research focuses on applying deep reinforcement learning, generative models, and synthetic data to problems in robotic perception and control.

Additionally, he co-organizes a machine learning training program for engineers to learn about production-ready deep learning called Full Stack Deep Learning. https://fullstackdeeplearning.com/

Josh did his PhD in Computer Science at UC Berkeley advised by Pieter Abbeel and was a research scientist at OpenAI for 3 years during his PhD.

Finally, Josh created this amazing field guide on troubleshooting deep neural networks:
http://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf

Follow Josh on twitter: https://twitter.com/josh_tobin
And on his website:http://josh-tobin.com/

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