中文说明：
运用深度学习模型实现图像的分类，主要包括卷积神经网络CNN和深信度网络DBN。
English Description：
Deep learning model is used to realize image classification, including convolutional neural network CNN and deep belief network DBN.
Deep learning model is used to realize image classification, including convolutional neural network
关注次数： 462
下载次数： 8
文件大小： 14409KB
中文说明：
运用深度学习模型实现图像的分类，主要包括卷积神经网络CNN和深信度网络DBN。
English Description：
Deep learning model is used to realize image classification, including convolutional neural network CNN and deep belief network DBN.
深度学习CNN%2BDBN%2BRBM\.travis.yml
深度学习CNN%2BDBN%2BRBM\CAE\caeapplygrads.m
深度学习CNN%2BDBN%2BRBM\CAE\caebbp.m
深度学习CNN%2BDBN%2BRBM\CAE\caebp.m
深度学习CNN%2BDBN%2BRBM\CAE\caedown.m
深度学习CNN%2BDBN%2BRBM\CAE\caeexamples.m
深度学习CNN%2BDBN%2BRBM\CAE\caenumgradcheck.m
深度学习CNN%2BDBN%2BRBM\CAE\caesdlm.m
深度学习CNN%2BDBN%2BRBM\CAE\caetrain.m
深度学习CNN%2BDBN%2BRBM\CAE\caeup.m
深度学习CNN%2BDBN%2BRBM\CAE\max3d.m
深度学习CNN%2BDBN%2BRBM\CAE\scaesetup.m
深度学习CNN%2BDBN%2BRBM\CAE\scaetrain.m
深度学习CNN%2BDBN%2BRBM\CNN\cnnapplygrads.m
深度学习CNN%2BDBN%2BRBM\CNN\cnnbp.m
深度学习CNN%2BDBN%2BRBM\CNN\cnnff.m
深度学习CNN%2BDBN%2BRBM\CNN\cnnnumgradcheck.m
深度学习CNN%2BDBN%2BRBM\CNN\cnnsetup.m
深度学习CNN%2BDBN%2BRBM\CNN\cnntest.m
深度学习CNN%2BDBN%2BRBM\CNN\cnntrain.m
深度学习CNN%2BDBN%2BRBM\CONTRIBUTING.md
深度学习CNN%2BDBN%2BRBM\create_readme.sh
深度学习CNN%2BDBN%2BRBM\data\mnist_uint8.mat
深度学习CNN%2BDBN%2BRBM\DBN\dbnsetup.m
深度学习CNN%2BDBN%2BRBM\DBN\dbntrain.m
深度学习CNN%2BDBN%2BRBM\DBN\dbnunfoldtonn.m
深度学习CNN%2BDBN%2BRBM\DBN\rbmdown.m
深度学习CNN%2BDBN%2BRBM\DBN\rbmtrain.m
深度学习CNN%2BDBN%2BRBM\DBN\rbmup.m
深度学习CNN%2BDBN%2BRBM\LICENSE
深度学习CNN%2BDBN%2BRBM\NN\nnapplygrads.m
深度学习CNN%2BDBN%2BRBM\NN\nnbp.m
深度学习CNN%2BDBN%2BRBM\NN\nnchecknumgrad.m
深度学习CNN%2BDBN%2BRBM\NN\nneval.m
深度学习CNN%2BDBN%2BRBM\NN\nnff.m
深度学习CNN%2BDBN%2BRBM\NN\nnpredict.m
深度学习CNN%2BDBN%2BRBM\NN\nnsetup.m
深度学习CNN%2BDBN%2BRBM\NN\nntest.m
深度学习CNN%2BDBN%2BRBM\NN\nntrain.m
深度学习CNN%2BDBN%2BRBM\NN\nnupdatefigures.m
深度学习CNN%2BDBN%2BRBM\README.md
深度学习CNN%2BDBN%2BRBM\README_header.md
深度学习CNN%2BDBN%2BRBM\REFS.md
深度学习CNN%2BDBN%2BRBM\SAE\saesetup.m
深度学习CNN%2BDBN%2BRBM\SAE\saetrain.m
深度学习CNN%2BDBN%2BRBM\tests\runalltests.m
深度学习CNN%2BDBN%2BRBM\tests\test_cnn_gradients_are_numerically_correct.m
深度学习CNN%2BDBN%2BRBM\tests\test_example_CNN.m
深度学习CNN%2BDBN%2BRBM\tests\test_example_DBN.m
深度学习CNN%2BDBN%2BRBM\tests\test_example_NN.m
深度学习CNN%2BDBN%2BRBM\tests\test_example_SAE.m
深度学习CNN%2BDBN%2BRBM\tests\test_nn_gradients_are_numerically_correct.m
深度学习CNN%2BDBN%2BRBM\util\allcomb.m
深度学习CNN%2BDBN%2BRBM\util\expand.m
深度学习CNN%2BDBN%2BRBM\util\flicker.m
深度学习CNN%2BDBN%2BRBM\util\flipall.m
深度学习CNN%2BDBN%2BRBM\util\fliplrf.m
深度学习CNN%2BDBN%2BRBM\util\flipudf.m
深度学习CNN%2BDBN%2BRBM\util\im2patches.m
深度学习CNN%2BDBN%2BRBM\util\isOctave.m
深度学习CNN%2BDBN%2BRBM\util\makeLMfilters.m
深度学习CNN%2BDBN%2BRBM\util\myOctaveVersion.m
深度学习CNN%2BDBN%2BRBM\util\normalize.m
深度学习CNN%2BDBN%2BRBM\util\patches2im.m
深度学习CNN%2BDBN%2BRBM\util\randcorr.m
深度学习CNN%2BDBN%2BRBM\util\randp.m
深度学习CNN%2BDBN%2BRBM\util\rnd.m
深度学习CNN%2BDBN%2BRBM\util\sigm.m
深度学习CNN%2BDBN%2BRBM\util\sigmrnd.m
深度学习CNN%2BDBN%2BRBM\util\softmax.m
深度学习CNN%2BDBN%2BRBM\util\tanh_opt.m
深度学习CNN%2BDBN%2BRBM\util\visualize.m
深度学习CNN%2BDBN%2BRBM\util\whiten.m
深度学习CNN%2BDBN%2BRBM\util\zscore.m
深度学习CNN%2BDBN%2BRBM\CAE
深度学习CNN%2BDBN%2BRBM\CNN
深度学习CNN%2BDBN%2BRBM\data
深度学习CNN%2BDBN%2BRBM\DBN
深度学习CNN%2BDBN%2BRBM\NN
深度学习CNN%2BDBN%2BRBM\SAE
深度学习CNN%2BDBN%2BRBM\tests
深度学习CNN%2BDBN%2BRBM\util
深度学习CNN%2BDBN%2BRBM