文件名称:Exercise6-Self-Taught-Learning
- 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：
- 2013-06-21
- 文件大小：
- 83kb
- 下载次数：
- 0次
- 提 供 者：
- Be***
- 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
斯坦福深度学习教程中关于Self-Taught的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on Self-Taught code, source code need to fill all places, all the full complement of the code, the handwriting recognition into the path of a database, you can run directly
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Exercise6 Self-Taught Learning\computeNumericalGradient.m
..............................\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.m
..............................\testMemory.m
..............................\minFunc\logistic
..............................\minFunc
Exercise6 Self-Taught Learning