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- 461 838
Xin Huang
United States
เข้าร่วมเมื่อ 30 ส.ค. 2011
Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Graduate Summer School: Deep Learning, Feature Learning
"Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)"
www.ipam.ucla.edu/publications/gss2012/gss2012_10595.pdf
"Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)"
www.ipam.ucla.edu/publications/gss2012/gss2012_10595.pdf
มุมมอง: 447 040
วีดีโอ
James-Coplien---The-DCI-Architecture--Supporting-the-Agile-Agenda-(hd-8235574)
มุมมอง 15K11 ปีที่แล้ว
Data, context and interaction (DCI) is a paradigm used in computer software to program systems of communicating objects. Its goals are: To improve the readability of object-oriented code by giving system behavior first-class status; To cleanly separate code for rapidly changing system behavior (what the system does) from code for slowly changing domain knowledge (what the system is), instead of...
過夜不知道自己
Impressive...the sparse coding of him, in this video.
Good
Can you guide me to learn deep learning pls
2012... hmm...
Better Quality here : th-cam.com/video/pfFyZY1RPZU/w-d-xo.html
The choppiness is in the video. Biology, layers: 20:15 - 33:41
Man Dr. Ng is such a humble man.
just appreciate the video guys.
Objects are immutable
Need an unsupervised learning algorithm to fill in the gaps of the video lag. Other than that, really good!
Amazing video!
To represent use cases in Java, no special tooling is required if you use my library: github.com/bertilmuth/requirementsascode. You can also generate use case documents from the code.
Audio gets better at 2:00 or so.
He is using the same table of numbers to represent an image on several different talks.
I'm in the field since 2010 machine learning and computer vision.. man this is a great state of the art presentation.. Nice ... really nice
It's great
i need to learn how programming language convert into machine language.... please upload your lecture videos.....
...прошу тебя... не пизди лишнего...!!!!, скажи суть..., если ты её понимаешь..., конечно..., пардон за агрессивный напор..., но этими рекламными презентациями..., Вы уже меня утомили..., типа... достали...!!!))))
We're a start up called "#Winning" and we're using convolutional neural networks to predict lottery numbers. We're currently training a recurrent network on coin tosses and dice rolls before moving onto the holy grail (but never holy fail) of predicting next week's lottery numbers
Can you guys believe that the idiot HR department over at "Tronc" (they're called tronc, now, get used to it) were stupid enough to post that ridiculous infographic think that they're going to use this technology to do a journalists job better than the team of journalists they fired could?
It's only a matter of time honestly. You're taking the same stance that hundreds of companies have taken in the face of rapidly improving technology.
do you want your IT department to be run by microsoft tay?
you're an idiot
Can you guys believe that the idiot HR department over at "Tronc" (they're called tronc, now, get used to it) were stupid enough to post that ridiculous infographic think that they're going to use this technology to do a journalists job better than the team of journalists they fired could?
Great video, wish it wasn't so choppy.
It doesn't actually inspire too much confidence that some of the greatest brains on the planet developing AI that will presumably be responsible for our safety and well being can't figure out how to upload a decent quality TH-cam video ten years after its inception. ;D (jk btw)
The thought had crossed my mind, but I decided to keep that to myself.
This was the video i am looking for after machine learning classes of him. I hope we'll meet in some conference.
Did he seriously have to defend himself for being inspired by nature? deliberately avoiding the term "evolution"??? at around 8:45 min
Found this in a probabilistic programming playlist. When does that portion of the talk start?
The statement at 19:30 "Humans have 20 years of experience looking at unlabeled images" is nonsense. Human experiences are always labelled by their feelings (aka rewards in machine learning).
thanks for sharing this video, awesome !!
thks for uploading this video
Oh my god this is great
11:00 still i wonder why our brains are so similiar and these brain regions are normally structured according to one specific task, optical cortex for seeing things, and auditory cortex for understanding sound frequency modulations. Why do certain sensory task occur in the same brain regions. That is my question, thanks for the replies if there are any;D really intresting stuff AI!!!!!! 2040 the internet will be alive!;p
+Vrolijke Vent Long wires are expensive. Total connectivity in the human brain is about 15%. It's nonsense to connect A1 with V1. The genes know that and therefore brain region connections are predefined in order to speed up learning.
Andrew Ng? Isn't this Rodger Peng?
haha hilarious
thanks a ton for sharing :)
the
the first
If you are having lag issues ... helper.ipam.ucla.edu/wowzavideo.aspx?vfn=10595.mp4&vfd=gss2012 This video from the site posted by David Sanders (see below) was working better for me.
+Fifty7V thank you :)
VertigoAt1977 Your'e welcome. If you like a video like this, you are my kind of people. -Happy to help.
thx for the upload!
LEGO CITY
what do want computers to do? Play fetch like man's other best friend? Seems frivolous when you put it that way. Accept if you're one of those who believes the accurate recollection can somehow make us whole again,
6:43 textons, spin image, SIFT paper
human kind play around with their brain to finally know about their God, the Creator. . . . .
Thank you very much for sharing this! That gave mere new direction to extend my knowledge
Anyone interested in this video would enjoy this: www.huffingtonpost.com.au/2015/05/13/andrew-ng_n_7267682.html Andrew Ng interview.
I like Andrew Ng. He is always so humble!
Very good and clear development of the main mainstream ideas in modern deep belief networks
th-cam.com/video/SxHqhDT9WGI/w-d-xo.html POOP, SORRY SORRY
I remember working on Natural Language Processing as an undergrad in the 80's ... it's come so far ... of course, back then we didn't compete with Neuro-Linguistic Programming for the NLP acronym.
Many thanks for sharing the lecture, it's so clear and concise. Now, I've an overall better understanding of the difference between various machine learning algorithms.
how can you have so much knowledge and talk about deep learning and advanced AI but not be able to record a 45 minute video? i really don't understand that...
good content. video lags constantly and becomes unconvenient for our eyes. please prevent such lags.
I wish Andrew would move forward from text, audio and images/video as there are more interesting problems and I'd like to hear about possible solutions to these problems via algorithms.
Should all AI have a standard eventually for a "base" brain? Should an individual AI be on a knowledge island of their own or should they all be interconnected and all be able to share their acquired learning and knowledge?