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文件名称:DeepLearnToolbox-master

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DNN工具包,可以利用MATLAB实现深度神经网络。达到预测的目的(DNN toolkit can implement deep neural network using MATLAB. Achieve the purpose of prediction)
相关搜索: 机器学习

(系统自动生成,下载前可以参看下载内容)

下载文件列表

DeepLearnToolbox-master
DeepLearnToolbox-master\.travis.yml
DeepLearnToolbox-master\CAE
DeepLearnToolbox-master\CAE\caeapplygrads.m
DeepLearnToolbox-master\CAE\caebbp.m
DeepLearnToolbox-master\CAE\caebp.m
DeepLearnToolbox-master\CAE\caedown.m
DeepLearnToolbox-master\CAE\caeexamples.m
DeepLearnToolbox-master\CAE\caenumgradcheck.m
DeepLearnToolbox-master\CAE\caesdlm.m
DeepLearnToolbox-master\CAE\caetrain.m
DeepLearnToolbox-master\CAE\caeup.m
DeepLearnToolbox-master\CAE\max3d.m
DeepLearnToolbox-master\CAE\scaesetup.m
DeepLearnToolbox-master\CAE\scaetrain.m
DeepLearnToolbox-master\CNN
DeepLearnToolbox-master\CNN\cnnapplygrads.m
DeepLearnToolbox-master\CNN\cnnbp.m
DeepLearnToolbox-master\CNN\cnnff.m
DeepLearnToolbox-master\CNN\cnnnumgradcheck.m
DeepLearnToolbox-master\CNN\cnnsetup.m
DeepLearnToolbox-master\CNN\cnntest.m
DeepLearnToolbox-master\CNN\cnntrain.m
DeepLearnToolbox-master\CONTRIBUTING.md
DeepLearnToolbox-master\create_readme.sh
DeepLearnToolbox-master\data
DeepLearnToolbox-master\data\mnist_uint8.mat
DeepLearnToolbox-master\DBN
DeepLearnToolbox-master\DBN\dbnsetup.m
DeepLearnToolbox-master\DBN\dbntrain.m
DeepLearnToolbox-master\DBN\dbnunfoldtonn.m
DeepLearnToolbox-master\DBN\rbmdown.m
DeepLearnToolbox-master\DBN\rbmtrain.m
DeepLearnToolbox-master\DBN\rbmup.m
DeepLearnToolbox-master\LICENSE
DeepLearnToolbox-master\NN
DeepLearnToolbox-master\NN\nnapplygrads.m
DeepLearnToolbox-master\NN\nnbp.m
DeepLearnToolbox-master\NN\nnchecknumgrad.m
DeepLearnToolbox-master\NN\nneval.m
DeepLearnToolbox-master\NN\nnff.m
DeepLearnToolbox-master\NN\nnpredict.m
DeepLearnToolbox-master\NN\nnsetup.m
DeepLearnToolbox-master\NN\nntest.m
DeepLearnToolbox-master\NN\nntrain.m
DeepLearnToolbox-master\NN\nnupdatefigures.m
DeepLearnToolbox-master\README.md
DeepLearnToolbox-master\README_header.md
DeepLearnToolbox-master\REFS.md
DeepLearnToolbox-master\SAE
DeepLearnToolbox-master\SAE\saesetup.m
DeepLearnToolbox-master\SAE\saetrain.m
DeepLearnToolbox-master\tests
DeepLearnToolbox-master\tests\runalltests.m
DeepLearnToolbox-master\tests\test_cnn_gradients_are_numerically_correct.m
DeepLearnToolbox-master\tests\test_example_CNN.m
DeepLearnToolbox-master\tests\test_example_DBN.m
DeepLearnToolbox-master\tests\test_example_NN.m
DeepLearnToolbox-master\tests\test_example_SAE.m
DeepLearnToolbox-master\tests\test_nn_gradients_are_numerically_correct.m
DeepLearnToolbox-master\util
DeepLearnToolbox-master\util\allcomb.m
DeepLearnToolbox-master\util\expand.m
DeepLearnToolbox-master\util\flicker.m
DeepLearnToolbox-master\util\flipall.m
DeepLearnToolbox-master\util\fliplrf.m
DeepLearnToolbox-master\util\flipudf.m
DeepLearnToolbox-master\util\im2patches.m
DeepLearnToolbox-master\util\isOctave.m
DeepLearnToolbox-master\util\makeLMfilters.m
DeepLearnToolbox-master\util\myOctaveVersion.m
DeepLearnToolbox-master\util\normalize.m
DeepLearnToolbox-master\util\patches2im.m
DeepLearnToolbox-master\util\randcorr.m
DeepLearnToolbox-master\util\randp.m
DeepLearnToolbox-master\util\rnd.m
DeepLearnToolbox-master\util\sigm.m
DeepLearnToolbox-master\util\sigmrnd.m
DeepLearnToolbox-master\util\softmax.m
DeepLearnToolbox-master\util\tanh_opt.m
DeepLearnToolbox-master\util\visualize.m
DeepLearnToolbox-master\util\whiten.m
DeepLearnToolbox-master\util\zscore.m

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