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Restricted Boltzmann Machines

Offered By: YouTube

Tags

Neural Networks Courses Deep Learning Courses Data Modeling Courses High-Dimensional Data Analysis Courses Restricted Boltzmann Machine Courses

Course Description

Overview

Restricted Boltzmann Machines (RBM) are a particular type of Gibbsian network or graphical model that is distinguished by having a layered structure with a hidden and a visible layer and by the fact that units within a layer are not connected to each other, which makes the units statistically independent given the other layer. RBMs can have many units and are often used to model high dimensional data, such as images.


Syllabus

RBM 1.1-1.3 - Restricted Boltzmann Machines (32 min).
RBM 1.4-1.7 - Restricted Boltzmann Machines (25 min).


Taught by

Prof. Laurenz Wiskott

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