文件名称:deepLearn-Toolbox
介绍说明--下载内容均来自于网络,请自行研究使用
为卷积神经网络的优化代码,广泛适用于图像处理。-Convolution neural network optimized code, widely used in image processing.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
deepLearn Toolbox
.................\.travis.yml
.................\CAE
.................\...\caeapplygrads.m
.................\...\caebbp.m
.................\...\caebp.m
.................\...\caedown.m
.................\...\caeexamples.m
.................\...\caenumgradcheck.m
.................\...\caesdlm.m
.................\...\caetrain.m
.................\...\caeup.m
.................\...\max3d.m
.................\...\scaesetup.m
.................\...\scaetrain.m
.................\CNN
.................\...\cnnapplygrads.m
.................\...\cnnbp.m
.................\...\cnnff.m
.................\...\cnnnumgradcheck.m
.................\...\cnnsetup.m
.................\...\cnntest.m
.................\...\cnntrain.m
.................\CONTRIBUTING.md
.................\create_readme.sh
.................\data
.................\....\mnist_uint8.mat
.................\DBN
.................\...\dbnsetup.m
.................\...\dbntrain.m
.................\...\dbnunfoldtonn.m
.................\...\rbmdown.m
.................\...\rbmtrain.m
.................\...\rbmup.m
.................\LICENSE
.................\NN
.................\..\nnapplygrads.m
.................\..\nnbp.m
.................\..\nnchecknumgrad.m
.................\..\nneval.m
.................\..\nnff.m
.................\..\nnpredict.m
.................\..\nnsetup.m
.................\..\nntest.m
.................\..\nntrain.m
.................\..\nnupdatefigures.m
.................\README.md
.................\README_header.md
.................\REFS.md
.................\SAE
.................\...\saesetup.m
.................\...\saetrain.m
.................\tests
.................\.....\runalltests.m
.................\.....\test_cnn_gradients_are_numerically_correct.m
.................\.....\test_example_CNN.m
.................\.....\test_example_DBN.m
.................\.....\test_example_NN.m
.................\.....\test_example_SAE.m
.................\.....\test_nn_gradients_are_numerically_correct.m
.................\util
.................\....\allcomb.m
.................\....\expand.m
.................\....\flicker.m
.................\....\flipall.m
.................\....\fliplrf.m
.................\....\flipudf.m
.................\....\im2patches.m
.................\....\isOctave.m
.................\....\makeLMfilters.m
.................\....\myOctaveVersion.m
.................\....\normalize.m
.................\....\patches2im.m
.................\....\randcorr.m
.................\....\randp.m
.................\....\rnd.m
.................\....\sigm.m
.................\....\sigmrnd.m
.................\....\softmax.m
.................\....\tanh_opt.m
.................\....\visualize.m
.................\....\whiten.m
.................\....\zscore.m