Matlab code for deep kearning

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
......

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．