AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
4min chapter
Peli Grietzer: A Mathematized Philosophy of Literature
The Gradient: Perspectives on AI
The Cost Function of a Neural Network
The classic vanilla to encoder is sometimes ultimately all you need, says Claire. The bottleneck layer in the middle of a neural network constrain how much information an encoder can like pass from the input to the output. We give it traditionally just like a Euclidean pixel like distance cost function. And we tell it's like, okay, you know what you need to do is to produce the thing. The output that's like as close in pixel space as possible to the input. Claire: One of the big discover big exciting discoveries of early deep learning again was that this process leads to the formation of something like a proto conceptual mapping for data manipulation.
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