generation関連のビデオ 1 - 10(278768件中)
generation の5分以上の動画generation関連のタグ
simple plan - generation (full, new album!)
3:03
This is Generation, the new song of Simple Plan's New Album If you guys have any requests or suggestions, hit me up I'll upload it Enjoy Thanks Subscribe/comment/rate
タグ:simple plan new album save
投稿日: February 8, 2008, 8:05 am
閲覧数: 445298
投票: 4.80(５点満点) 1231 人の平均
bob sinclar - love generation
3:35
VideoClip: Bob Sinclar - Love Generation. Listen to this great song!
タグ:bob sinclar love genaration wereldmuziek
投稿日: October 20, 2005, 11:17 pm
閲覧数: 2365403
投票: 4.80(５点満点) 2832 人の平均
who - my generation
4:02
the who live at the monterey international pop festival.
タグ:the who
投稿日: February 12, 2006, 5:01 am
閲覧数: 3052653
投票: 4.90(５点満点) 7262 人の平均
olivier miller - generation virtuelle (clip officiel)
3:21
Produit par Bullet Entertainment / Bigbroz. Réalisé par Cyril Allouche. 2008-Bigbroz Publishing Ltd
タグ:olivier miller virtuelle
投稿日: October 2, 2008, 2:24 am
閲覧数: 48400
投票: 4.80(５点満点) 122 人の平均
my generation
5:12
The Who Sings My generation (from the kids are alright)
タグ:who my
投稿日: July 20, 2006, 5:26 am
閲覧数: 1119794
投票: 4.90(５点満点) 3905 人の平均
limp bizkit - my generation
3:43
Limp Bizkit - My Generation
タグ:limp bizkit
投稿日: August 3, 2006, 3:37 am
閲覧数: 4018534
投票: 4.70(５点満点) 9573 人の平均
generation kill - iraq
6:49
Aug 2004 What happens when those who've grown up on Hollywood war movies and graphic video games are sent to the frontline? "It's the ultimate rush -- you're going into the fight with a good song playing in the background," states one soldier. This is a war fought by the first playstation generation. As Rolling Stones journalist Evan Wright explains: "One thing about them is they kill very well in Iraq."
タグ:us war iraq terror occupation soldiers
投稿日: August 16, 2007, 11:59 pm
閲覧数: 2312906
投票: 3.90(５点満点) 3931 人の平均
next generation of neural networks
59:23
Google Tech Talks November, 29 2007 In the 1980's, new learning algorithms for neural networks promised to solve difficult classification tasks, like speech or object recognition, by learning many layers of non-linear features. The results were disappointing for two reasons: There was never enough labeled data to learn millions of complicated features and the learning was much too slow in deep neural networks with many layers of features. These problems can now be overcome by learning one layer of features at a time and by changing the goal of learning. Instead of trying to predict the labels, the learning algorithm tries to create a generative model that produces data which looks just like the unlabeled training data. These new neural networks outperform other machine learning methods when labeled data is scarce but unlabeled data is plentiful. An application to very fast document retrieval will be described. Speaker: Geoffrey Hinton Geoffrey Hinton received his BA in experimental psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978. He did postdoctoral work at Sussex University and the University of California San Diego and spent five years as a faculty member in the Computer Science department at Carnegie-Mellon University. He then became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto. He spent three years from 1998 until 2001 setting up the Gatsby Computational Neuroscience Unit at University College London and then returned to the University of Toronto where he is a University Professor. He holds a Canada Research Chair in Machine Learning. He is the director of the program on "Neural Computation and Adaptive Perception" which is funded by the Canadian Institute for Advanced Research. Geoffrey Hinton is a fellow of the Royal Society, the Royal Society of Canada, and the Association for the Advancement of Artificial Intelligence. He is an honorary foreign member of the American Academy of Arts and Sciences, and a former president of the Cognitive Science Society. He received an honorary doctorate from the University of Edinburgh in 2001. He was awarded the first David E. Rumelhart prize (2001), the IJCAI award for research excellence (2005), the IEEE Neural Network Pioneer award (1998) and the ITAC/NSERC award for contributions to information technology (1992). A simple introduction to Geoffrey Hinton's research can be found in his articles in Scientific American in September 1992 and October 1993. He investigates ways of using neural networks for learning, memory, perception and symbol processing and has over 200 publications in these areas. He was one of the researchers who introduced the back-propagation algorithm that has been widely used for practical applications. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, Helmholtz machines and products of experts. His current main interest is in unsupervised learning procedures for neural networks with rich sensory input.
タグ:google techtalks techtalk engedu talk talks
投稿日: December 4, 2007, 7:13 pm
閲覧数: 46281
投票: 4.90(５点満点) 171 人の平均
lost generation
1:44
タグ:aarp you@50 video contest lost
投稿日: November 30, 2007, 7:29 pm
閲覧数: 449707
投票: 4.70(５点満点) 2149 人の平均
who my generation woodstock perfect quality
4:38
the who my generation woodstock perfect quality.
タグ:the who my woodstock naked
投稿日: May 1, 2007, 3:32 am
閲覧数: 155917
投票: 4.90(５点満点) 572 人の平均
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