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Deep-Learning-Toolbox

于 2020-12-15 发布 文件大小:14396KB
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  深度学习matlab工具箱,包括深度deep belief nets,stacked autoencoder,convolutional neural nets等网络。(Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.)

文件列表：

DeepLearnToolbox-master
.......................\CAE
.......................\...\caeapplygrads.m,1219,2013-10-22
.......................\...\caebbp.m,917,2013-10-22
.......................\...\caebp.m,1011,2013-10-22
.......................\...\caedown.m,259,2013-10-22
.......................\...\caeexamples.m,764,2013-10-22
.......................\...\caenumgradcheck.m,3618,2013-10-22
.......................\...\caesdlm.m,845,2013-10-22
.......................\...\caetrain.m,1148,2013-10-22
.......................\...\caeup.m,489,2013-10-22
.......................\...\max3d.m,173,2013-10-22
.......................\...\scaesetup.m,1937,2013-10-22
.......................\...\scaetrain.m,270,2013-10-22
.......................\CNN
.......................\...\cnnapplygrads.m,575,2013-10-22
.......................\...\cnnbp.m,2140,2013-10-22
.......................\...\cnnff.m,1774,2013-10-22
.......................\...\cnnnumgradcheck.m,3590,2013-10-22
.......................\...\cnnsetup.m,1765,2013-10-22
.......................\...\cnntest.m,193,2013-10-22
.......................\...\cnntrain.m,845,2013-10-22
.......................\create_readme.sh,744,2013-10-22
.......................\data
.......................\....\mnist_uint8.mat,14735220,2013-10-22
.......................\DBN
.......................\...\dbnsetup.m,557,2013-10-22
.......................\...\dbntrain.m,232,2013-10-22
.......................\...\dbnunfoldtonn.m,425,2013-10-22
.......................\...\rbmdown.m,90,2013-10-22
.......................\...\rbmtrain.m,1328,2013-10-22
.......................\...\rbmup.m,89,2013-10-22
.......................\htm" target=_blank>LICENSE,1313,2013-10-22
.......................\NN
.......................\..\nnapplygrads.m,628,2013-10-22
.......................\..\nnbp.m,1638,2013-10-22
.......................\..\nnchecknumgrad.m,704,2013-10-22
.......................\..\nneval.m,772,2013-10-22
.......................\..\nnff.m,1849,2013-10-22
.......................\..\nnpredict.m,188,2013-10-22
.......................\..\nnsetup.m,1844,2013-10-22
.......................\..\nntest.m,180,2013-10-22
.......................\..\nntrain.m,2414,2013-10-22
.......................\..\nnupdatefigures.m,1858,2013-10-22
.......................\README.md,10042,2013-10-22
.......................\README_header.md,2602,2013-10-22
.......................\REFS.md,950,2013-10-22
.......................\SAE
.......................\...\saesetup.m,132,2013-10-22
.......................\...\saetrain.m,308,2013-10-22
.......................\tests
.......................\.....\runalltests.m,162,2013-10-22
.......................\.....\test_cnn_gradients_are_numerically_correct.m,552,2013-10-22
.......................\.....\test_example_CNN.m,979,2013-10-22
.......................\.....\test_example_DBN.m,1031,2013-10-22
.......................\.....\test_example_NN.m,3247,2013-10-22
.......................\.....\test_example_SAE.m,1902,2013-10-22
.......................\.....\test_nn_gradients_are_numerically_correct.m,749,2013-10-22
.......................\util
.......................\....\allcomb.m,2618,2013-10-22
.......................\....\expand.m,1958,2013-10-22
.......................\....\flicker.m,208,2013-10-22
.......................\....\flipall.m,80,2013-10-22
.......................\....\fliplrf.m,543,2013-10-22
.......................\....\flipudf.m,576,2013-10-22
.......................\....\im2patches.m,313,2013-10-22
.......................\....\makeLMfilters.m,1895,2013-10-22
.......................\....\normalize.m,97,2013-10-22
.......................\....\patches2im.m,242,2013-10-22
.......................\....\randcorr.m,283,2013-10-22
.......................\....\randp.m,2083,2013-10-22
.......................\....\rnd.m,49,2013-10-22
.......................\....\sigm.m,48,2013-10-22
.......................\....\sigmrnd.m,126,2013-10-22
.......................\....\softmax.m,256,2013-10-22
.......................\....\tanh_opt.m,54,2013-10-22
.......................\....\visualize.m,1072,2013-10-22
.......................\....\whiten.m,183,2013-10-22
.......................\....\zscore.m,137,2013-10-22

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    说明：  此仿真用以实现五相永磁同步电机弱磁控制功能。(Realization of flux weakening of five-phase permanent magnet synchronous motor)
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