文件名称:train_lowsae
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2017-05-16
- 文件大小：
- 26.5mb
- 下载次数：
- 0次
- 提 供 者：
- 张**
- 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
以图像块作为输入信息训练自编码器的matlab程序-An matlab program for training an encoder an image block as input information
(系统自动生成,下载前可以参看下载内容)
下载文件列表
train_lowsae\3\lowsae200.mat
............\getOutput_lowsae.m
............\initializeParameters_lowsae.m
............\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.mexmaci
............\.......\lbfgsC.mexmaci64
............\.......\lbfgsC.mexw32
............\.......\lbfgsC.mexw64
............\.......\lbfgsUpdate.m
............\.......\.ogistic\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.mexmaci64
............\.......\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
............\sigmoid.m
............\sparseAutoencoderCost_lowsae.m
............\storeParameters_lowsae.m
............\train.m
............\trainingdata3.mat
............\train_lowsae.m
............\minFunc\logistic
............\3
............\minFunc
train_lowsae