文件名称:Exercise7-stacked-autoencoder
- 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:
- 90kb
- 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stacked autoencoder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 stacked autoencoder 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
Exercise7 Implement deep networks for digit classification\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
............................................