AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
ICLR 2020: Yann LeCun and Energy-Based Models
Machine Learning Street Talk (MLST)
How Does the Manifold of All Natural Language Change During Training?
So we have this cube of all possible data, and our manifold cribe some like, oddly shaped circle in this cube. And you build an eral network that can basically output any point in the cube initially. And now you train it, and yourebas you're asking, ok, how does the things that it Outputs changes during training? Would it be more clustered, or would it cover more of the cube? Well, i so, so ye here's the question. So is that what we think them that like?
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
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