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A fast learning algorithm for deep belief nets

www.cs.toronto.edu

inference difficult in densely-connected belief nets that have many hidden layers. Using com-plementary priors, we derive a fast, greedy algo-rithm that can learn deep, directed belief networks one layer at a time, provided the top two lay-ers form an undirected associative memory. The fast, greedy algorithm is used to initialize a slower

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Rule-of-Thumb for Calculating Aperture Size #154 - Laird Tech

cdn.lairdtech.com

densely populated some require shielding just so they do not interfere with their own operation. The shielding effectiveness of an aperture, and ultimately of an enclosure itself, is generally a function of the size of the largest aperture in the enclosure. Enclosure can be defined as anything from a PC board shield to a shielded

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