文件名称:Exercise2-Vectorization
- 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：
- 147kb
- 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
http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization。斯坦福深度学习的教程，练习2的代码-http://deeplearning.stanford.edu/wiki/index.php/Exercise:Vectorization. Stanford deep learning tutorials, exercises 2 code
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Exercise2 Vectorization\checkNumericalGradient.m
.......................\computeNumericalGradient.asv
.......................\computeNumericalGradient.m
.......................\display_network.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
.......................\sampleIMAGES.m
.......................\sparseAutoencoderCost.m
.......................\train.m
.......................\weights.jpg
.......................\minFunc\logistic
.......................\minFunc
Exercise2 Vectorization