3min chapter

Machine Learning Street Talk (MLST) cover image

#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]

Machine Learning Street Talk (MLST)

CHAPTER

Part-Hole Relationships in Machine Learning

I was also going to bring in, I don't know if you've heard of Hinton's glom architecture, but it came after capsule networks. And we were just talking about these wonderful inductive priors in deep learning. But this is a really interesting prior as well, these part-hole relationships. Gosh, yes, there's so many issues you bring there. The notion of these inductive biases minimizing the complexity. This reading self-organization as self-evidancing,. which is a philosophically poetic way of simply describing existence as an optimization process. It's really a principle at least action, but you can read it as an optimizing process. What are you

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode