SAE_DBN_CNNToolbox
所属分类：模式识别(视觉/语音等)
开发工具：matlab
文件大小：14434KB
下载次数：79
上传日期：2017-03-01 17:11:07
上 传 者：
5457085
说明： 多种深度学习框架，主要包括堆栈稀疏自动编码器，深信度网络，卷积神经网络等。对于灰度图像和高维图像，展现非常强大的学习性能。
(A variety of deep learning framework, including automatic stack sparse encoder, is convinced of the network, convolution neural networks. For grayscale images and high-dimensional image, showing a very powerful learning performance.)
文件列表:
CAE\caeapplygrads.m (1219, 2013-01-05)
CAE\caebbp.m (917, 2013-01-05)
CAE\caebp.m (1011, 2013-01-05)
CAE\caedown.m (259, 2013-01-05)
CAE\caeexamples.m (764, 2013-01-05)
CAE\caenumgradcheck.m (3618, 2013-01-05)
CAE\caesdlm.m (845, 2013-01-05)
CAE\caetrain.m (1148, 2013-01-05)
CAE\caeup.m (489, 2013-01-05)
CAE\max3d.m (173, 2013-01-05)
CAE\scaesetup.m (1937, 2013-01-05)
CAE\scaetrain.m (270, 2013-01-05)
CNN\cnnapplygrads.m (571, 2013-01-05)
CNN\cnnbp.m (2140, 2013-01-05)
CNN\cnnff.m (1774, 2013-01-05)
CNN\cnnnumgradcheck.m (3590, 2013-01-05)
CNN\cnnsetup.m (1147, 2013-01-05)
CNN\cnntest.m (193, 2013-01-05)
CNN\cnntrain.m (845, 2013-01-05)
data\mnist_uint8.mat (14735220, 2013-01-05)
DBN\dbnsetup.m (557, 2013-01-05)
DBN\dbntrain.m (232, 2013-01-05)
DBN\dbnunfoldtonn.m (343, 2013-01-05)
DBN\rbmdown.m (90, 2013-01-05)
DBN\rbmtrain.m (1328, 2013-01-05)
DBN\rbmup.m (89, 2013-01-05)
LICENSE (1313, 2013-01-05)
NN\nnapplygrads.m (486, 2013-01-05)
NN\nnbp.m (760, 2013-01-05)
NN\nnchecknumgrad.m (1154, 2013-01-05)
NN\nnff.m (924, 2013-01-05)
NN\nnsetup.m (1438, 2013-01-05)
NN\nntest.m (234, 2013-01-05)
NN\nntrain.m (1611, 2013-01-05)
REFS.md (950, 2013-01-05)
SAE\saesetup.m (132, 2013-01-05)
SAE\saetrain.m (258, 2013-01-05)
... ...
echo "" > README.md
cat README_header.md >> README.md
echo -e "Example: Deep Belief Network\n---------------------\n\`\`\`matlab\n" >> README.md
cat ./tests/test_example_DBN.m >> README.md
echo -e "\n\`\`\`\n\n" >> README.md
echo -e "Example: Stacked Auto-Encoders\n---------------------\n\`\`\`matlab\n" >> README.md
cat ./tests/test_example_SAE.m >> README.md
echo -e "\n\`\`\`\n\n" >> README.md
echo -e "Example: Convolutional Neural Nets\n---------------------\n\`\`\`matlab\n" >> README.md
cat ./tests/test_example_CNN.m >> README.md
echo -e "\n\`\`\`\n\n" >> README.md
echo -e "Example: Neural Networks\n---------------------\n\`\`\`matlab\n" >> README.md
cat ./tests/test_example_NN.m >> README.md
echo -e "\n\`\`\`\n\n" >> README.md
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