文件名称:UFLDL
- 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：
- 518kb
- 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作业，以下作业均已完整做好，build deep network,vectorization,softmax,working with large images,pca。-UFLDL,build deep network,vectorization,softmax,working with large images,pca
(系统自动生成,下载前可以参看下载内容)
下载文件列表
UFLDL作业上传\build deep networks作业\checkStackedAECost.m
.............\.......................\computeNumericalGradient.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
.............\.......................\params2stack.m
.............\.......................\softmaxCost.m
.............\.......................\softmaxTrain.m
.............\.......................\sparseAutoencoderCost.m
.............\.......................\stack2params.m
.............\.......................\stackedAECost.m
.............\.......................\stackedAEExercise.m
.............\.......................\stackedAEPredict.m
.............\ExerciseVectorization导师写\checkNumericalGradient.m
.............\...........................\computeNumericalGradient.m
.............\...........................\display_network.m
.............\...........................\initializeParameters.m
.............\...........................\loadMNISTImages.m
.............\...........................\loadMNISTLabels.m
.............\...........................\minFunc\ArmijoBacktrack.m