文件名称:self-taugh
- 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：
- 2014-12-11
- 文件大小：
- 84kb
- 下载次数：
- 0次
- 提 供 者：
- 刘*
- 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
ufldl，self-taught 作业，完整代码，运行结果与提示一致-ufldl, self-taught work, complete code, operating results consistent with the prompt
(系统自动生成,下载前可以参看下载内容)
下载文件列表
self-taugh作业\display_network.m
..............\feedForwardAutoencoder.m
..............\initializeParameters.m
..............\loadMNISTImages.m
..............\loadMNISTLabels.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
..............\softmaxCost.m
..............\softmaxPredict.m
..............\softmaxTrain.m
..............\sparseAutoencoderCost.m
..............\stlExercise-origin.m
..............\stlExercise.m
..............\minFunc\logistic
..............\minFunc
self-taugh作业