文件名称:code-of-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：
- 2017-04-13
- 文件大小：
- 11.1mb
- 下载次数：
- 0次
- 提 供 者：
- 孙**
- 相关连接：
- 无
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- 别用迅雷下载，失败请重下，重下不扣分！
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斯坦福大学deep-learning教程ufldl练习答案-the answer of the exercise of ufldl
(系统自动生成,下载前可以参看下载内容)
下载文件列表
code of UFLDL
.............\cnn
.............\...\cnnConvolve.m
.............\...\cnnCost.m
.............\...\cnnExercise.m
.............\...\cnnInitParams.m
.............\...\cnnParamsToStack.m
.............\...\cnnPool.m
.............\...\cnnTrain.m
.............\...\computeNumericalGradient.m
.............\...\minFuncSGD.m
.............\common
.............\......\display_network.m
.............\......\loadMNISTImages.m
.............\......\loadMNISTLabels.m
.............\......\minFunc_2012
.............\......\............\autoDif
.............\......\............\.......\autoGrad.m
.............\......\............\.......\autoHess.m
.............\......\............\.......\autoHv.m
.............\......\............\.......\autoTensor.m
.............\......\............\.......\derivativeCheck.m
.............\......\............\.......\fastDerivativeCheck.m
.............\......\............\example_derivativeCheck.m
.............\......\............\example_minFunc.m
.............\......\............\logisticExample
.............\......\............\...............\example_minFunc_LR.m
.............\......\............\...............\LogisticDiagPrecond.m
.............\......\............\...............\LogisticHv.m
.............\......\............\...............\LogisticLoss.m
.............\......\............\...............\mylogsumexp.m
.............\......\............\mexAll.m
.............\......\............\minFunc
.............\......\............\.......\ArmijoBacktrack.m
.............\......\............\.......\compiled
.............\......\............\.......\........\lbfgsAddC.mexa64
.............\......\............\.......\........\lbfgsAddC.mexmaci64
.............\......\............\.......\........\lbfgsAddC.mexw64
.............\......\............\.......\........\lbfgsC.mexa64
.............\......\............\.......\........\lbfgsC.mexglx
.............\......\............\.......\........\lbfgsC.mexmac
.............\......\............\.......\........\lbfgsC.mexmaci
.............\......\............\.......\........\lbfgsC.mexmaci64
.............\......\............\.......\........\lbfgsC.mexw32
.............\......\............\.......\........\lbfgsC.mexw64
.............\......\............\.......\........\lbfgsProdC.mexa64
.............\......\............\.......\........\lbfgsProdC.mexmaci64
.............\......\............\.......\........\lbfgsProdC.mexw64
.............\......\............\.......\........\mcholC.mexa64
.............\......\............\.......\........\mcholC.mexglx
.............\......\............\.......\........\mcholC.mexmac
.............\......\............\.......\........\mcholC.mexmaci64
.............\......\............\.......\........\mcholC.mexw32
.............\......\............\.......\........\mcholC.mexw64
.............\......\............\.......\conjGrad.m
.............\......\............\.......\dampedUpdate.m
.............\......\............\.......\isLegal.m
.............\......\............\.......\lbfgs.m
.............\......\............\.......\lbfgsAdd.m
.............\......\............\.......\lbfgsProd.m
.............\......\............\.......\lbfgsUpdate.m
.............\......\............\.......\mchol.m
.............\......\............\.......\mcholinc.m
.............\......\............\.......\mex
.............\......\............\.......\...\lbfgsAddC.c
.............\......\............\.......\...\lbfgsC.c
.............\......\............\.......\...\lbfgsProdC.c
.............\......\............\.......\...\mcholC.c
.............\......\............\.......\minFunc.m
.............\......\............\.......\minFunc_processInputOptions.m
.............\......\............\.......\polyinterp.m
.............\......\............\.......\precondDiag.m
.............\......\............\.......\precondTriu.m
.............\......\............\.......\precondTriuDiag.m
.............\......\............\.......\taylorModel.m
.............\......\............\.......\WolfeLineSearch.m
.............\......\............\