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文件名称:深度学习模型（卷积神经网络，深信度网络和堆栈稀疏自动编码器）

  • 所属分类：
    matlab例程
  • 标签属性：
    [Matlab] [源码]
  • 上传时间：
    2017-09-13
  • 文件大小：
    46.74mb
  • 已下载：
    7次
  • 提 供 者：
    wanxiaoqing119
  • 相关连接：
    无
  • 下载说明：
    别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

深度学习网络，包含卷积神经网络,深信度神经网络,和堆栈稀疏自动编码器等
(系统自动生成,下载前可以参看下载内容)

下载文件列表

压缩包 : DeepLearnToolbox.rar 列表
DeepLearnToolbox/.travis.yml
DeepLearnToolbox/CAE/caeapplygrads.m
DeepLearnToolbox/CAE/caebbp.m
DeepLearnToolbox/CAE/caebp.m
DeepLearnToolbox/CAE/caedown.m
DeepLearnToolbox/CAE/caeexamples.m
DeepLearnToolbox/CAE/caenumgradcheck.m
DeepLearnToolbox/CAE/caesdlm.m
DeepLearnToolbox/CAE/caetrain.m
DeepLearnToolbox/CAE/caeup.m
DeepLearnToolbox/CAE/max3d.m
DeepLearnToolbox/CAE/mnist_uint8.mat
DeepLearnToolbox/CAE/scaesetup.m
DeepLearnToolbox/CAE/scaetrain.m
DeepLearnToolbox/CNN/cnnapplygrads.m
DeepLearnToolbox/CNN/cnnbp.m
DeepLearnToolbox/CNN/cnnff.m
DeepLearnToolbox/CNN/cnnnumgradcheck.m
DeepLearnToolbox/CNN/cnnsetup.m
DeepLearnToolbox/CNN/cnntest.m
DeepLearnToolbox/CNN/cnntrain.m
DeepLearnToolbox/CONTRIBUTING.md
DeepLearnToolbox/create_readme.sh
DeepLearnToolbox/data/mnist_uint8.mat
DeepLearnToolbox/DBN/dbnsetup.m
DeepLearnToolbox/DBN/dbntrain.m
DeepLearnToolbox/DBN/dbnunfoldtonn.m
DeepLearnToolbox/DBN/rbmdown.m
DeepLearnToolbox/DBN/rbmtrain.m
DeepLearnToolbox/DBN/rbmup.m
DeepLearnToolbox/LICENSE
DeepLearnToolbox/NN/nnapplygrads.m
DeepLearnToolbox/NN/nnbp.m
DeepLearnToolbox/NN/nnchecknumgrad.m
DeepLearnToolbox/NN/nneval.m
DeepLearnToolbox/NN/nnff.m
DeepLearnToolbox/NN/nnpredict.m
DeepLearnToolbox/NN/nnsetup.m
DeepLearnToolbox/NN/nntest.m
DeepLearnToolbox/NN/nntrain.m
DeepLearnToolbox/NN/nnupdatefigures.m
DeepLearnToolbox/README.md
DeepLearnToolbox/README_header.md
DeepLearnToolbox/REFS.md
DeepLearnToolbox/SAE/saesetup.m
DeepLearnToolbox/SAE/saetrain.m
DeepLearnToolbox/tests/mnist_uint8.mat
DeepLearnToolbox/tests/runalltests.m
DeepLearnToolbox/tests/test_cnn_gradients_are_numerically_correct.m
DeepLearnToolbox/tests/test_example_CNN.m
DeepLearnToolbox/tests/test_example_DBN.m
DeepLearnToolbox/tests/test_example_NN.m
DeepLearnToolbox/tests/test_example_SAE.m
DeepLearnToolbox/tests/test_nn_gradients_are_numerically_correct.m
DeepLearnToolbox/util/allcomb.m
DeepLearnToolbox/util/expand.m
DeepLearnToolbox/util/flicker.m
DeepLearnToolbox/util/flipall.m
DeepLearnToolbox/util/fliplrf.m
DeepLearnToolbox/util/flipudf.m
DeepLearnToolbox/util/im2patches.m
DeepLearnToolbox/util/isOctave.m
DeepLearnToolbox/util/makeLMfilters.m
DeepLearnToolbox/util/normalize.m
DeepLearnToolbox/util/patches2im.m
DeepLearnToolbox/util/randcorr.m
DeepLearnToolbox/util/randp.m
DeepLearnToolbox/util/rnd.m
DeepLearnToolbox/util/sigm.m
DeepLearnToolbox/util/sigmrnd.m
DeepLearnToolbox/util/softmax.m
DeepLearnToolbox/util/tanh_opt.m
DeepLearnToolbox/util/visualize.m
DeepLearnToolbox/util/whiten.m
DeepLearnToolbox/util/zscore.m
DeepLearnToolbox/CAE
DeepLearnToolbox/CNN
DeepLearnToolbox/data
DeepLearnToolbox/DBN
DeepLearnToolbox/NN
DeepLearnToolbox/SAE
DeepLearnToolbox/tests
DeepLearnToolbox/util
DeepLearnToolbox
DeepLearnToolbox/t10k-images-idx3-ubyte.gz
DeepLearnToolbox/t10k-images.idx3-ubyte
DeepLearnToolbox/t10k-images.idx3-ubyte.gz
DeepLearnToolbox/t10k-labels-idx1-ubyte.gz
DeepLearnToolbox/t10k-labels.idx1-ubyte
DeepLearnToolbox/t10k-labels.idx1-ubyte.gz

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