Watch Youtube Videos

Tags : mp3 evolution avril lavigne nightmare chemical guitar akon timbaland south carolina ronaldinho britney spears speed muffins paris hilton paul potts funny music 2007 fergie robot berkeley hilarious

User: Dojokoto

Simple Plan - Generation (Full, New Album!) 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 Tags: simple plan generation new album save you rock punk

User: Bartech

Bob Sinclar - Love Generation VideoClip: Bob Sinclar - Love Generation. Listen to this great song! Tags: Bob Sinclar Love Genaration Wereldmuziek

User: nlausch

the who - my generation the who live at the monterey international pop festival. Tags: the who

User: UniversalMusicFrance

OLIVIER MILLER - Generation virtuelle (clip officiel) Produit par Bullet Entertainment / Bigbroz. Réalisé par Cyril Allouche. 2008-Bigbroz Publishing Ltd Tags: olivier miller generation virtuelle

User: Mogurich

My Generation The Who Sings My generation (from the kids are alright) Tags: who my generation

User: nfscoy

Limp Bizkit - My Generation Limp Bizkit - My Generation Tags: Limp Bizkit

User: journeymanpictures

Generation Kill - Iraq 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." Tags: US War Iraq Terror Occupation Soldiers Marines Video Games Heavy Metal Music Rap Death Morbid Desensitized Hollywood

User: googletechtalks

The Next Generation of Neural Networks 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. Tags: google techtalks techtalk engedu talk talks googletechtalks education

User: metroamv

Lost Generation I guess I should finally get around to putting something here. I am surprised that it has received so much attention recently. This video was created for the AARP U@50 video contest and placed second It is based on the Argentinian Political Advertisement "The Truth" by RECREAR Thanks to joezandstra for posting it as a video response. If you would like more info about the video you can find it here http://www.youtube.com/watch?v=lFz5jbUfJbk The two songs are Mind things Our Lifes, Our Destinies t r y ^ d Beauty both of which are available for free through the creative commons license and on the site http://www.jamendo.com/en/. Tags: AARP you@50 Video Contest lost generation metro metroamv

User: andyg3

the who my generation woodstock perfect quality the who my generation woodstock perfect quality. Tags: the who my generation woodstock naked eye 1969 live

Pages: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20