“Xingchao work”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
=Simple semi-linear autoencoder
=Simple semi-linear autoencoder
第3行: 第3行:
 
===Reproduce Nested Dropout===
 
===Reproduce Nested Dropout===
 
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.
 
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.
====Simple semi-linear autoencoder===
+
====Simple semi-linear autoencoder====
 
Their first draft work is semi-linear autoencoder, so I will reproduce this work.
 
Their first draft work is semi-linear autoencoder, so I will reproduce this work.
  

2015年7月2日 (四) 11:25的版本

Chaos Work

Binary Word Vector

Reproduce Nested Dropout

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.

Simple semi-linear autoencoder

Their first draft work is semi-linear autoencoder, so I will reproduce this work.

And I will compare this work to PCA.

We only consider one hidden layer.

Start at 2015-07-02 20:00