Machine Learning: Making Sense of a Messy World
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The world is filled with things that most of us are able to understand and react to without much thought… a stop sign partially covered by snow is still a stop sign… a chair that’s five times bigger than usual, is still a place to sit. But for computers, the world is often messy and complicated. Google engineers and researchers discuss how machine learning is beginning to make computers, and many of the things we use them for (maps, search, recommending videos, translations), better. http://www.tensorflow.org
Google engineers and researcher (in order of appearance): Blaise Aguera Y Arcas, Greg Corrado, John Giannandrea, Peter Norvig, Jeff Dean, Geoffrey Hinton, Anna Patterson.
More on Machine Learning at Google :
Blog: http://research.google.com/pubs/ArtificialIntelligenceandMachineLearning.html
G+ page: https://plus.google.com/+ResearchatGoogle
Twitter: https://twitter.com/googleresearch
Machine Learning and Deep Neural Nets Explained: https://www.youtube.com/watch?v=bHvf7Tagt18
Source
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So building an AI can be derived with a myriad of methods and solutions to perform a single action.
We can upload a human brain in computer , whole population brain upload in a computer and free them to think
กิจการพ่อตาให้แฟนทำให้
Disculpen traducción a España ñol
je sur avec comme pays les Etats Unies pour les conditions de securites
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Exacto por favor todos los comentarios en español gracias por todo
Ted Johnson
WOW
Genesis 1 29 and 30 says I have time get to rest and before i know it …second wind zeros in
interesting tech, you can find any one and send a missile to erase him
God is the only ok me that does that so stop playing with his son
I don't really think you could even begin to understand
Yea Google I don't think your ready for me
I am the break threw your looking for call me 8503769419
Sorry
Sem palavras de emoção sou um umid sou casada e ele tem que concordar eu pŕesizo com cordar
Watching this in 2020 and thinking how using Google Crowdsource is helping AI improve everyday, makes me realize how everything has changed so fast and how much we've achieved
Parabéns congratulations
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YU GI OH
YUGI MOTO
SETO MOTO
KONAMI
Ok
Muito Bom
Hey @Google! You left out Alexandra Faust from the list of Google Scientists appearing in the video 🙂
Another surprise with Google Assistant .late 1 night I said ' ok.Google Assistant ' set an alarm for Monday Morning' before I could set the time ..Google Assistant said ' ok ! Here is what I brought up!' The Song Monday Morning by Melonie Fiona.( excuse me if her name is misspelled) what a joy is I went ahead and got up and just walked about listening to her song and the male vocal track
Formatting is excellent too Thanks Google as I'm still aware of this list of video/ music Formats
I'm at this very beginner 1 place ok wonderful advancements well recieved .lately I can look at incoming mail and look at the address where it came from and go to Google Maps.and temporarily type in or enter the address and ! There is the building location or better yet using Google Go at Google Lens.a favorite of mine Thanks Google Team.from a guest Michael morales
Proszę wytłumaczyć mi po polsku
良識ある行動を目指す
Hey awesome
J'aime les commentaires
Me encanta el video y el sonido 🎈👍🏼👍🏼👍🏼👍🏼
Like all parents should be,held accountable for the actions of their offspring. Get it right Google. You will be held accountable
Would it not be like a new baby??. Who gives it its basic operating program. People learn what they live.who is the first …what is the first thing,,person,,word, an AI will encounter???. That will be where it starts..will that first person,,word,,idea,,etc, be inherently good,i.e. true?..of will the starting block be surupticiousley bad, i.e. wrong..that is where it will start..
🦌
Unsupervised learning please believe me just TRUST ME
Eu preciso abrir meu canal yutube
What l need you tell me what I donot want want hear
The researcher speaking at the stage 0:15 speaks similar to Jonathan Ive https://www.youtube.com/watch?v=zSVMfuCrXNA
Ok
Google Smart
Ok I got ya
Woohoo that computer the first last one I want one !!! Maybe if I start with logic and build the code from basic matrix forming if only I wasn't dyslexic make this machine learning alot more comprehensible for me or you? Wait what I'm comfortable with google finally ….idk about the world with UFOs and what not but yeah I trust you guys at Google sorry for my cursing