文件名称:deep_networks
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该文档包含了利用深度学习神经网络对分类问题的详细结构-Implement deep networks for digit classification
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下载文件列表
Implement_deep_networks_for_digit_classification\checkNumericalGradient.m
................................................\checkStackedAECost.m
................................................\computeNumericalGradient.m
................................................\display_network.m
................................................\feedForwardAutoencoder.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
................................................\params2stack.m
................................................\sigmoid.m
................................................\softm