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The Principles of Deep Learning Theory - Dan Roberts




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Title :  The Principles of Deep Learning Theory - Dan Roberts
Lasting :   1.20.18
Date of publication :  
Views :   96 rb


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Comments The Principles of Deep Learning Theory - Dan Roberts



Jiang Hemin
35:40 Ed Witten asks a question
Comment from : Jiang Hemin


James Hawke
Be more concerned with WHAT exactly you are learning Revel in unlearning
Comment from : James Hawke


Brock Frreminz
Uh, ummm, uhh
Comment from : Brock Frreminz


Sheriff of YouTube
poor kid sounds painful
Comment from : Sheriff of YouTube


Melagnosis
Very nice
Comment from : Melagnosis


Bryan Chance
Bad audio
Comment from : Bryan Chance


Eric Thorfinnson
Much like a dog chasing its tail
Comment from : Eric Thorfinnson


Eric Thorfinnson
AI can not get past circular LOGIC
Comment from : Eric Thorfinnson


Matthew Perry
Audio bad
Comment from : Matthew Perry


CW T
Zero comments?
Comment from : CW T


Hagozilla Zockt
Sweet!
Comment from : Hagozilla Zockt


MrStrongmuscle
This guy seems misleading
Comment from : MrStrongmuscle


East Afrika
Deep learning is simply the square root of one √1 Self taught This is achieved by identical mirror programs, like a one smartphone screen on another You can call it keyboard duality
Comment from : East Afrika


warrior Nun
Whose the artuctect speaker 🔊
Comment from : warrior Nun


warrior Nun
He is speaking TRUTH thank U this is how they use star seeds
Comment from : warrior Nun


warrior Nun
Please PROTECT the speaker
Comment from : warrior Nun


warrior Nun
Thank u
Comment from : warrior Nun


EriPages
1st
Comment from : EriPages


Dave Taitt
"AI" wants to steal our dreams
Comment from : Dave Taitt


maxwellsdaemon7
At 42:10, the two terms with E[] on the left hand side are the same
Comment from : maxwellsdaemon7


Kamil Ziemian
Best lecture about deep learning that I see to this date
Comment from : Kamil Ziemian


Anita Backrub
Say NO to AI! NO ROBOTS!!!!
Comment from : Anita Backrub


Edward
Deep learning:brLearning, deeply br(You are all welcome, for saving you all that time!)
Comment from : Edward


maxxiiful
All the questions are genuine and answers disappointing Opportunity lost, IAS
Comment from : maxxiiful


rnoro
The whole talk is more or less a rhetorics It's just another way to say: find a nice basis of a certain Hilbert space so that you can express any function as a linear combination of the basis And guys, which Hilbert space we should chose? Unknown Please make try and error Good luck
Comment from : rnoro


Surendra Kumar Verma
Good 🙏🙏🙏🙏🙏
Comment from : Surendra Kumar Verma


Perer Addison
from multiple simplicity, ultimate complexity emerges and converges, creating a function junction vorex
Comment from : Perer Addison


Tito Baba
Is it possible to get a copy of your slides?
Comment from : Tito Baba


david allcott
Thank you for this bridging work Eagerly awaiting your publication
Comment from : david allcott


Parameshwar Hazra
Wow Impressivevery informative really enjoyed, Sir
Comment from : Parameshwar Hazra


Lil Abner
Today, everyone's talking about this hype (AI), even without knowing its (intelligence) clear definition How funny 🤣🤣🤣
Comment from : Lil Abner


Aranea Science
I love lectures like this, that shows the basic foundations of AI
Comment from : Aranea Science



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