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Baby AI School General presentation The Baby AI Shool project is meant to be a first step in our work towards Artifical Intelligence (AI). The ultimate step will ...
Contrastive divergence multi layer RBMs Boltzmann machines Random variable %$X$% (may be) observed, %$H$% is (always) hidden. Their joint is given by the Boltzmann ...
Pseudo code for training Deep Belief Networks Training of Restricted Boltzmann Machines This is the RBM update procedure for binomial units. It also works for exponential ...
# Deep Learning Workshop: Foundations and Future Directions Hyatt hotel, Vancouver, Canada, December 6th, 2007, 2pm 5:30pm, Georgia B room, 2nd floor Organizers ...
Preface This is an online companion for the paper An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation by Hugo Larochelle, Dumitru ...
Preliminary stuff that can be useful, depending on your background Another bibliography: DeepNetworksBibliography. About neural networks See the page on neural nets ...
Abstract This page introduces motivations, goals, and research directions for the UdeM machine learning lab (LISA). We start from the goal of understanding intelligence ...
NEW: Presentation at from Yoshua Bengio. Available from videoletures.com This website serves as an introduction to our research projects, ideas, papers and datasets ...
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