文件名称:sparseae
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-01-26
- 文件大小：
- 11mb
- 下载次数：
- 0次
- 提 供 者：
- gua****
- 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
Sparse AutoEncoder 编程代码，此代码可以用于提取未命名标签的各类图像的特征，支持 Deep Learning 后续分类 MLP-Sparse AutoEncoder programming code, this code can be used to extract unnamed label features images of all kinds, supporting Deep Learning subsequent classification MLP
(系统自动生成,下载前可以参看下载内容)
下载文件列表
starter
.......\minFunc
.......\.......\ArmijoBacktrack.m
.......\.......\autoGrad.m
.......\.......\autoHess.m
.......\.......\autoHv.m
.......\.......\autoTensor.m
.......\.......\callOutput.m
.......\.......\conjGrad.m
.......\.......\dampedUpdate.m
.......\.......\example_minFunc.m
.......\.......\example_minFunc_LR.m
.......\.......\isLegal.m
.......\.......\lbfgs.m
.......\.......\lbfgsC.c
.......\.......\lbfgsC.mexa64
.......\.......\lbfgsC.mexglx
.......\.......\lbfgsC.mexmac
.......\.......\lbfgsC.mexw32
.......\.......\lbfgsC.mexw64
.......\.......\lbfgsUpdate.m
.......\.......\logistic
.......\.......\........\LogisticDiagPrecond.m
.......\.......\........\LogisticHv.m
.......\.......\........\LogisticLoss.m
.......\.......\........\mexutil.c
.......\.......\........\mexutil.h
.......\.......\........\mylogsumexp.m
.......\.......\........\repmatC.c
.......\.......\........\repmatC.dll
.......\.......\........\repmatC.mexglx
.......\.......\........\repmatC.mexmac
.......\.......\mchol.m
.......\.......\mcholC.c
.......\.......\mcholC.mexw32
.......\.......\mcholC.mexw64
.......\.......\mcholinc.m
.......\.......\minFunc.m
.......\.......\minFunc_processInputOptions.m
.......\.......\polyinterp.m
.......\.......\precondDiag.m
.......\.......\precondTriu.m
.......\.......\precondTriuDiag.m
.......\.......\rosenbrock.m
.......\.......\taylorModel.m
.......\.......\WolfeLineSearch.m
.......\.......\lbfgsC.mexmaci
.......\.......\lbfgsC.mexmaci64
.......\.......\mcholC.mexmaci64
.......\IMAGES.mat
.......\display_network.m
.......\initializeParameters.m
.......\sampleIMAGES.m
.......\train.m
.......\computeNumericalGradient.m
.......\checkNumericalGradient.m
.......\sparseAutoencoderCost.m