文件名称:Deeplearning

  • 所属分类:
  • LabView
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2017-04-29
  • 文件大小:
  • 311kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • saeed******
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  • 下载说明:
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Matlab code for deep kearning


(系统自动生成,下载前可以参看下载内容)

下载文件列表





Deeplearning\libORF-master\.directory

............\.............\.gitattributes

............\.............\.gitignore

............\.............\@Color\Color.m

............\.............\...ntractiveAutoencoder\ContractiveAutoencoder.m

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

............\.............\.......................\.......\contractiveAutoencoderCostBGD.m

............\.............\.......................\.......\contractiveAutoencoderCostSGD.m

............\.............\.......................\.......\dNonLinearity.m

............\.............\.......................\.......\nonLinearity.m

............\.............\....vUtils\.svn\all-wcprops

............\.............\..........\....\entries

............\.............\..........\....\text-base\ConvUtils.m.svn-base

............\.............\..........\ConvUtils.m

............\.............\..........\private\maxoutFprop.c

............\.............\..........\.......\maxoutFprop.mexa64

............\.............\.DenoisingAutoencoder\DenoisingAutoencoder.m

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

............\.............\.....................\.......\denoisingAutoencoderCostBGD.m

............\.............\.....................\.......\denoisingAutoencoderCostSGD.m

............\.............\.....................\.......\dNonLinearity.m

............\.............\.....................\.......\nonLinearity.m

............\.............\.Edge\Edge.m

............\.............\..mbeddingNeuralNet\EmbeddingNeuralNet.m

............\.............\...................\private\dNonLinearity.m

............\.............\...................\.......\embeddingNeuralNetCost.m

............\.............\...................\.......\feedForwardENN.m

............\.............\...................\.......\nonLinearity.m

............\.............\...................\.......\params2stack.m

............\.............\...................\.......\stack2params.m

............\.............\.Img\Img.m

............\.............\....\private\display_img.m

............\.............\.LinearRegressor\LinearRegressor.m

............\.............\................\private\costFunctionLinRegL2.m

............\.............\.......SVM\.svn\all-wcprops

............\.............\..........\....\entries

............\.............\..........\....\text-base\LinearSVM.m.svn-base

............\.............\..........\LinearSVM.m

............\.............\..........\private\.svn\all-wcprops

............\.............\..........\.......\....\entries

............\.............\..........\.......\....\text-base\linearSVMcostL2.m.svn-base

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

............\.............\..........\.......\linearSVMcostL2.m

............\.............\..ogisticRegressor\LogisticRegressor.m

............\.............\..................\private\costFunction.m

............\.............\..................\.......\costFunctionLogRegL2.m

............\.............\.NaiveBayesGM\.svn\all-wcprops

............\.............\.............\....\entries

............\.............\.............\....\text-base\NaiveBayesGM.m.svn-base

............\.............\.............\NaiveBayesGM.m

............\.............\..euralNet\.svn\all-wcprops

............\.............\..........\....\entries

............\.............\..........\....\text-base\NeuralNet.m.svn-base

............\.............\..........\NeuralNet.m

............\.............\..........\private\.svn\all-wcprops

............\.............\..........\.......\....\entries

............\.............\..........\.......\....\text-base\computeNumericalGradient.m.svn-base

............\.............\..........\.......\....\.........\dNonLinearity.m.svn-base

............\.............\..........\.......\....\.........\feedForwardNN.m.svn-base

............\.............\..........\.......\....\.........\neuralNetCost.m.svn-base

............\.............\..........\.......\....\.........\neuralNetCostGPU.m.svn-base

......

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