文件名称:DeepLearning-master
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2015-08-04
- 文件大小：
- 71kb
- 下载次数：
- 0次
- 提 供 者：
- T***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
机器学习领域中的深度学习资料，其中包括了各种语言的版本，有matlab，C语言，c++等。代码中包括了深度学习的一些模型，如栈式自动编码机，深度信念网-It s about deep learning in machine learning, including some model with different programming language. The models are stacked auto encoders, deep belief nets and so on
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下载文件列表
DeepLearning-master
...................\.gitignore
...................\README.md
...................\c
...................\.\DBN.c
...................\.\DBN.h
...................\.\HiddenLayer.h
...................\.\LogisticRegression.c
...................\.\LogisticRegression.h
...................\.\RBM.c
...................\.\RBM.h
...................\.\SdA.c
...................\.\SdA.h
...................\.\dA.c
...................\.\dA.h
...................\.\utils.h
...................\cpp
...................\...\DBN.cpp
...................\...\DBN.h
...................\...\HiddenLayer.cpp
...................\...\HiddenLayer.h
...................\...\LogisticRegression.cpp
...................\...\LogisticRegression.h
...................\...\RBM.cpp
...................\...\RBM.h
...................\...\SdA.cpp
...................\...\SdA.h
...................\...\dA.cpp
...................\...\dA.h
...................\...\utils.cpp
...................\go
...................\..\DBN.go
...................\..\HiddenLayer
...................\..\...........\HiddenLayer.go
...................\..\LogisticRegression.go
...................\..\LogisticRegression
...................\..\..................\LogisticRegression.go
...................\..\RBM.go
...................\..\RBM
...................\..\...\RBM.go
...................\..\SdA.go
...................\..\dA.go
...................\..\dA
...................\..\..\dA.go
...................\..\utils
...................\..\.....\utils.go
...................\java
...................\....\DBN
...................\....\...\src
...................\....\...\...\DBN.java
...................\....\...\...\HiddenLayer.java
...................\....\...\...\LogisticRegression.java
...................\....\...\...\RBM.java
...................\....\LogisticRegression
...................\....\..................\src
...................\....\..................\...\LogisticRegression.java
...................\....\RBM
...................\....\...\src
...................\....\...\...\RBM.java
...................\....\SdA
...................\....\...\src
...................\....\...\...\HiddenLayer.java
...................\....\...\...\LogisticRegression.java
...................\....\...\...\SdA.java
...................\....\...\...\dA.java
...................\....\dA
...................\....\..\src
...................\....\..\...\dA.java
...................\python
...................\......\CDBN.py
...................\......\CRBM.py
...................\......\DBN.py
...................\......\HiddenLayer.py
...................\......\LogisticRegression.py
...................\......\RBM.py
...................\......\SdA.py
...................\......\dA.py
...................\......\utils.py
...................\scala
...................\.....\DBN.scala
...................\.....\HiddenLayer.scala
...................\.....\LogisticRegression.scala
...................\.....\RBM.scala
...................\.....\SdA.scala
...................\.....\dA.scala