AXRP - the AI X-risk Research Podcast cover image

31 - Singular Learning Theory with Daniel Murfet

AXRP - the AI X-risk Research Podcast

CHAPTER

The Impact of Initialization in Deep Learning

This chapter explores the crucial role of parameter initialization in deep learning models, emphasizing how variance can affect convergence and learning dynamics. It also examines the relationship between initialization, singular learning theory, and Bayesian interpretations, shedding light on the implications for deep network performance.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner