Josh Tobin holds a CS PhD from UC Berkeley, which he completed in four years while also working at OpenAI as a research scientist. His focus was on robotic perception and control, and contributed to the famous Rubik's cube robot hand video. He co-organizes the phenomenal Full Stack Deep Learning course and is now working on a new stealth startup.Learn more about Josh:http://josh-tobin.com/https://twitter.com/josh_tobin_Want to level-up your skills in machine learning and software engineering? Join the ML Engineered Newsletter: https://mlengineered.ck.page/943aa3fd46Comments? Questions? Submit them here: https://charlie266.typeform.com/to/DA2j9Md9Follow Charlie on Twitter: https://twitter.com/CharlieYouAITake the Giving What We Can Pledge: https://www.givingwhatwecan.org/Subscribe to ML Engineered: https://mlengineered.com/listenTimestamps:01:32 Follow Charlie on Twitter (twitter.com/charlieyouai)02:43 How Josh got started in CS and ML11:05 Why Josh worked on ML for robotics15:03 ML for Robotics research at OpenAI28:20 Josh's research process34:56 Why putting ML into production is so difficult44:46 What Josh thinks the ML Ops landscape will look like49:49 Common mistakes that production ML teams and companies make53:11 How ML systems will be built in the future59:37 The most valuable skills that ML engineers should develop01:03:50 Rapid Fire QuestionsLinksFull Stack Deep LearningDomain Randomization for Transferring Deep Neural Networks from Simulation to the Real WorldDomain Randomization and Generative Models for Robotic GraspingDeepMind Generative Query Network (GQN) paperGeometry Aware Neural RenderingJosh's PhD ThesisOpenAI Rubik's Cube Robot Hand videoWeights and Biases interview with JoshBuilding Data Intensive ApplicationsCreative Selection

Ver todos los episodios