文件名称:sparseae_exercise

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2015-03-28
  • 文件大小:
  • 20.76mb
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  • 0次
  • 提 供 者:
  • 大***
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该文档包含了深度学习的典型模型稀疏自编码的程序和代码-this document contain sparseae exercise of deep learning network
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下载文件列表





sparseae_exercise\starter\checkNumericalGradient.m

.................\.......\computeNumericalGradient.m

.................\.......\display_network.m

.................\.......\IMAGES.mat

.................\.......\initializeParameters.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

.................\.......\octave-core

.................\.......\sampleIMAGES.m

.................\.......\sigmoid.m

.................\.......\sparseAutoencoderCost.m

.................\.......\train.m

.................\.......\weights.jpg

.................\.......\minFunc\logistic

.................\.......\minFunc

.................\starter

sparseae_exercise

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