文件名称:stanford_dl_ex-master

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2017-08-29
  • 文件大小:
  • 147kb
  • 下载次数:
  • 1次
  • 提 供 者:
  • bruc*****
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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.)
相关搜索: deeplearning
Andrew
Ng
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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