Machine Learning Street Talk (MLST) cover image

ICLR 2020: Yoshua Bengio and the Nature of Consciousness

Machine Learning Street Talk (MLST)

00:00

Causal Structures in Deep Learning

This chapter explores how incorporating semantic variables and causal relationships through graphical models can enhance deep learning. It examines the dynamics of reasoning and credit assignment, emphasizing the role of sparse factor graphs and shared cognitive rules in influencing high-level variables.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app