Large-scale deep unsupervised learning using graphics processors

Full Text:

PDF

Buy this Article

Authors:	Rajat Raina	Stanford University, Stanford, CA
	Anand Madhavan	Stanford University, Stanford, CA
	Andrew Y. Ng	Stanford University, Stanford, CA

Published in:

· Proceeding

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

ACM New York, NY, USA ©2009
table of contents ISBN: 978-1-60558-516-1 doi>10.1145/1553374.1553486

	2009 Article
Bibliometrics
· Downloads (6 Weeks): 12 · Downloads (12 Months): 106 · Citation Count: 8

Tools and Resources

Tags: algorithms design graphics processors learning nonmonotonic reasoning and belief revision parallel processing parallelism and concurrency performance theory