p04 Restricted Boltzmann Machines Cvpr2012 Deep Learning Methods for Vision
Deap Learning Ai, ai, programming, lisp, artificale inteligence
Erte Pan Wireless Eng. Group Advisor: Dr. Han Department of Electrical and Computer Engineering University of Houston, Houston, TX. Erte Pan Wireless Eng.
Image net classification with Deep Convolutional Neural Networks
Deep Learning: a birds eye view
UCL Tutorial on: Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research &
Learning Deep Energy Models Author: Jiquan Ngiam et. al., 2011 Presenter: Dibyendu Sengupta 1.
(Infinitely) Deep Learning in Vision Max Welling (UCI) collaborators: Ian Porteous (UCI) Evgeniy Bart UCI/Caltech) Pietro Perona (Caltech)
Deep Learning for Speech and Language Yoshua Bengio, U. Montreal NIPS’2009 Workshop on Deep Learning for Speech Recognition and Related Applications December.
Learning Deep Architectures for AI
Deep Belief Nets and Restricted Boltzmann Machines
Learning Deep Energy Models
