• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
AI
Reaction

2012 lectures on learning principles and today’s AI

A user recommends the lectures, saying their learning principles remain relevant to LLMs, image generation, protein folding and materials.

Nando de FreitasND
1 Source, 13d ago, first seen 13d ago

TLDR

A user recommends 2012 lectures on learning principles, saying they remain relevant to LLMs, image generation, protein folding and materials. The linked video is titled “An Informal Mathematical Tour of Feature Learning, Pt. 1.”

Combined views

10.6K

1 Source, first seen 13d ago

132 likes3 comments124 saves13 reposts

Combined views

10.6K

1 Source, first seen 13d ago

132 likes3 comments124 saves13 reposts

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

Featured Source

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

Related

Nando de Freitas’ deep learning course is promoted as free forever

A user recommends the course as an Oxford-taught technical foundation, pairing the pitch with a secondhand claim about $650,000-a-year pay at Anthropic.

UK AI Researchers Push to End Garden Leave Rules

Posts highlight how non-compete clauses delay AI startup launches in Britain.

1 Source

Nando de Freitas@NandoDFThese 2012 lectures continue to be relevant today. They cover the principles for learning — for LLMs, image generation, protein folding, materials, etc. Highly recommend them for people wanting to understand what AI is all about. https://youtu.be/XYEs7kK2efY?is=efObHse_hZjTrqvR13d
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    Nando de Freitas

    1 Source

    Nando de Freitas@NandoDFThese 2012 lectures continue to be relevant today. They cover the principles for learning — for LLMs, image generation, protein folding, materials, etc. Highly recommend them for people wanting to understand what AI is all about. https://youtu.be/XYEs7kK2efY?is=efObHse_hZjTrqvR13d
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet