文件名称:vectorization_exercise
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该文档包含了深度学习中的矢量化编程方式和程序示例-this document contain vectorization exercise of deep learning network
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下载文件列表
vectorization_exercise\checkNumericalGradient.m
......................\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
......................\sigmoid.m
......................\sparseAutoencoderCost.m
......................\train.m
......................\train_for_this_exercise.m
......................\weights.jpg
......................\minFunc\logistic
......................\minFunc
vectorization_exercise