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文件名称:stanford_dl_ex-master

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    2017-08-29
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    147kb
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介绍说明--下载内容来自于网络,使用问题请自行百度

coursera斯坦福Andrew Ng的深度学习编程作业答案(This is the answer of Andrew ng's deep learning curriculum in coursera.)
(系统自动生成,下载前可以参看下载内容)

下载文件列表

stanford_dl_ex-master
stanford_dl_ex-master\LICENSE
stanford_dl_ex-master\README.md
stanford_dl_ex-master\cnn
stanford_dl_ex-master\cnn\cnnConvolve.m
stanford_dl_ex-master\cnn\cnnCost.m
stanford_dl_ex-master\cnn\cnnExercise.m
stanford_dl_ex-master\cnn\cnnInitParams.m
stanford_dl_ex-master\cnn\cnnParamsToStack.m
stanford_dl_ex-master\cnn\cnnPool.m
stanford_dl_ex-master\cnn\cnnTrain.m
stanford_dl_ex-master\cnn\computeNumericalGradient.m
stanford_dl_ex-master\cnn\minFuncSGD.m
stanford_dl_ex-master\common
stanford_dl_ex-master\common\display_network.m
stanford_dl_ex-master\common\loadMNISTImages.m
stanford_dl_ex-master\common\loadMNISTLabels.m
stanford_dl_ex-master\common\minFunc_2012
stanford_dl_ex-master\common\minFunc_2012\autoDif
stanford_dl_ex-master\common\minFunc_2012\autoDif\autoGrad.m
stanford_dl_ex-master\common\minFunc_2012\autoDif\autoHess.m
stanford_dl_ex-master\common\minFunc_2012\autoDif\autoHv.m
stanford_dl_ex-master\common\minFunc_2012\autoDif\autoTensor.m
stanford_dl_ex-master\common\minFunc_2012\autoDif\derivativeCheck.m
stanford_dl_ex-master\common\minFunc_2012\autoDif\fastDerivativeCheck.m
stanford_dl_ex-master\common\minFunc_2012\example_derivativeCheck.m
stanford_dl_ex-master\common\minFunc_2012\example_minFunc.m
stanford_dl_ex-master\common\minFunc_2012\logisticExample
stanford_dl_ex-master\common\minFunc_2012\logisticExample\LogisticDiagPrecond.m
stanford_dl_ex-master\common\minFunc_2012\logisticExample\LogisticHv.m
stanford_dl_ex-master\common\minFunc_2012\logisticExample\LogisticLoss.m
stanford_dl_ex-master\common\minFunc_2012\logisticExample\example_minFunc_LR.m
stanford_dl_ex-master\common\minFunc_2012\logisticExample\mylogsumexp.m
stanford_dl_ex-master\common\minFunc_2012\mexAll.m
stanford_dl_ex-master\common\minFunc_2012\minFunc
stanford_dl_ex-master\common\minFunc_2012\minFunc\ArmijoBacktrack.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\WolfeLineSearch.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsAddC.mexa64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsAddC.mexmaci64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsAddC.mexw64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsC.mexa64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsC.mexglx
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsC.mexmac
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsC.mexmaci
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsC.mexmaci64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsC.mexw32
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsC.mexw64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsProdC.mexa64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsProdC.mexmaci64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\lbfgsProdC.mexw64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\mcholC.mexa64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\mcholC.mexglx
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\mcholC.mexmac
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\mcholC.mexmaci64
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\mcholC.mexw32
stanford_dl_ex-master\common\minFunc_2012\minFunc\compiled\mcholC.mexw64
stanford_dl_ex-master\common\minFunc_2012\minFunc\conjGrad.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\dampedUpdate.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\isLegal.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\lbfgs.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\lbfgsAdd.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\lbfgsProd.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\lbfgsUpdate.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\mchol.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\mcholinc.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\mex
stanford_dl_ex-master\common\minFunc_2012\minFunc\mex\lbfgsAddC.c
stanford_dl_ex-master\common\minFunc_2012\minFunc\mex\lbfgsC.c
stanford_dl_ex-master\common\minFunc_2012\minFunc\mex\lbfgsProdC.c
stanford_dl_ex-master\common\minFunc_2012\minFunc\mex\mcholC.c
stanford_dl_ex-master\common\minFunc_2012\minFunc\minFunc.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\minFunc_processInputOptions.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\polyinterp.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\precondDiag.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\precondTriu.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\precondTriuDiag.m
stanford_dl_ex-master\common\minFunc_2012\minFunc\taylorModel.m
stanford_dl_ex-master\common\minFunc_2012\rosenbrock.m
stanford_dl_ex-master\common\samplePatches.m
stanford_dl_ex-master\ex1
stanford_dl_ex-master\ex1\binary_classifier_accuracy.m
stanford_dl_ex-master\ex1\ex1_load_mnist.m
stanford_dl_ex-master\ex1\ex1a_linreg.m
stanford_dl_ex-master\ex1\ex1b_logreg.m
stanford_dl_ex-master\ex1\ex1c_softmax.m
stanford_dl_ex-master\ex1\grad_check.m
stanford_dl_ex-master\ex1\housing.data
stanford_dl_ex-master\ex1\linear_regression.m
stanford_dl_ex-master\ex1\linear_regression_vec.m
stanford_dl_ex-master\ex1\logistic_regression.m
stanford_dl_ex-master\ex1\logistic_regression_vec.m
stanford_dl_ex-master\ex1\multi_classifier_accuracy.m
stanford_dl_ex-master\ex1\sigmoid.m
stanford_dl_ex-master\ex1\softmax_regression_vec.m
stanford_dl_ex-master\multilayer_supervised
stanford_dl_ex-master\multilayer_supervised\initialize_weights.m
stanford_dl_ex-master\multilayer_supervised\load_preprocess_mnist.m
stanford_dl_ex-master\multilayer_supervised\params2stack.m
stanford_dl_ex-master\multilayer_supervised\run_train.m

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