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CIAR Second Summer School Tutorial Lecture 2a Learning a Deep Belief Net

CIAR Second Summer School Tutorial Lecture 2a Learning a Deep Belief Net

CIAR Second Summer School Tutorial Lecture 2a Learning a Deep Belief Net. Geoffrey Hinton. A neural network model of digit recognition. The top two layers form a restricted Boltzmann machine whose free energy landscape models the low dimensional manifolds of the digits. The valleys have names:.

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509 views • 34 slides
CIAR Summer School Tutorial Lecture 2b Learning a Deep Belief Net

CIAR Summer School Tutorial Lecture 2b Learning a Deep Belief Net

CIAR Summer School Tutorial Lecture 2b Learning a Deep Belief Net. Geoffrey Hinton. A neural network model of digit recognition. The top two layers form a restricted Boltzmann machine whose free energy landscape models the low dimensional manifolds of the digits. The valleys have names:.

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478 views • 30 slides
Wake-Sleep algorithm for Representational Learning

Wake-Sleep algorithm for Representational Learning

Wake-Sleep algorithm for Representational Learning. Hamid Reza Maei Physiol. & Neurosci. Program University of Toronto. V/H. R 2. G 2. G 1. R 1. d. Motivation. The Brain is able to learn the underlying representation of received input data (e.g. images) in an unsupervised manner.

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414 views • 18 slides
Monday, February 21, 2000 Prasanna Jayaraman Department of Computing and Information Sciences, KSU

Monday, February 21, 2000 Prasanna Jayaraman Department of Computing and Information Sciences, KSU

Lecture 15. Artificial Neural Networks Presentation (3 of 4): Pattern Recognition using Unsupervised ANNs. Monday, February 21, 2000 Prasanna Jayaraman Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/~prasanna Readings:

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225 views • 14 slides

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