“Xingchao work”版本间的差异

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=Simple semi-linear autoencoder
 
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=Chaos Work=
 
=Chaos Work=
==Binary Word Vector==
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[[SLT]]
===Reproduce Nested Dropout===
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Nested dropout method proposed by Rippel et. in their paper "Learning Ordered Representations with Nested Dropout", they proposed a dropout method which could learning ordered information in different dimensions.
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====Simple semi-linear autoencoder===
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Their first draft work is semi-linear autoencoder, so I will reproduce this work.
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And I will compare this work to PCA.
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We only consider one hidden layer.
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Start at 2015-07-02 20:00
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2016年4月8日 (五) 04:44的最后版本

Chaos Work

SLT