文件名称:sparseae_exercise_finished
- 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:
- 2015-05-21
- 文件大小:
- 10.32mb
- 下载次数:
- 0次
- 提 供 者:
- haoh****
- 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
稀疏自编码器,UFLDL教程中的练习代码,已经完成了需要补充的代码-Sparse Autoencoder
(系统自动生成,下载前可以参看下载内容)
下载文件列表
sparseae_exercise - 完成\starter\checkNumericalGradient.m
........................\.......\computeNumericalGradient.m
........................\.......\display_network.m
........................\.......\IMAGES.mat
........................\.......\initializeParameters.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
........................\.......\pic1.bmp
........................\.......\pic2.bmp
........................\.......\sampleIMAGES.m
........................\.......\sparseAutoencoderCost.m
........................\.......\train.m
........................\.......\weights.jpg
........................\.......\minFunc\logistic
........................\.......\minFunc
........................\starter
sparseae_exercise - 完成