文件名称:Exercise8-linear-decoder
- 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：
- 79kb
- 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linear decoder 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 linear decoder 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
Exercise8 Learning color features with Sparse Autoencoders\computeNumericalGradient.m
..........................................................\displayColorNetwork.m
..........................................................\initializeParameters.m
..........................................................\linearDecoderExercise.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
.....................................