Neural Ordinary Differential Equations with David Duvenaud - #364

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

EpisodeApr 9, 202049m

Neural Ordinary Differential Equations with David Duvenaud - #364

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

EpisodeApr 9, 202049m

Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto, to discuss his research on Neural Ordinary Differential Equations, a type of continuous-depth neural network. In our conversation, we talk through a few of David’s papers on the subject. We discuss the problem that David is trying to solve with this research, the potential that ODEs have to replace “the backbone” of the neural networks that are used to train today, and David’s approach to engineering.

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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.

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