資源簡介
深度學習工具包
Deprecation notice.
-----
This toolbox is outdated and no longer maintained.
There are much better tools available for deep learning than this toolbox, e.g. [Theano](http://deeplearning.net/software/theano/), [torch](http://torch.ch/) or [tensorflow](http://www.tensorflow.org/)
I would suggest you use one of the tools mentioned above rather than use this toolbox.
Best, Rasmus.
DeepLearnToolbox
================
A Matlab toolbox for Deep Learning.
Deep Learning is a new subfield of machine learning that focuses on learning deep hierarchical models of data.
It is inspired by the human brain's apparent deep (layered, hierarchical) architecture.
A good overview of the theory of Deep Learning theory is
[Learning Deep Architectures for AI](http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf)
For a more informal introduction, see the following videos by Geoffrey Hinton and Andrew Ng.
* [The Next Generation of Neural Networks](http://www.youtube.com/watch?v=AyzOUbkUf3M) (Hinton, 2007)
* [Recent Developments in Deep Learning](http://www.youtube.com/watch?v=VdIURAu1-aU) (Hinton, 2010)
* [Unsupervised Feature Learning and Deep Learning](http://www.youtube.com/watch?v=ZmNOAtZIgIk) (Ng, 2011)
If you use this toolbox in your research please cite [Prediction as a candidate for learning deep hierarchical models of data](http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6284)
```
@MASTERSTHESIS\{IMM2012-06284,
author = "R. B. Palm",
title = "Prediction as a candidate for learning deep hierarchical models of data",
year = "2012",
}
```
Contact: rasmusbergpalm at gmail dot com
Directories included in the toolbox
-----------------------------------
`NN/` - A library for Feedforward Backpropagation Neural Networks
`CNN/` - A library for Convolutional Neural Networks
`DBN/` - A library for Deep Belief Networks
`SAE/` - A library for Stacked Auto-Encoders
`CAE/` - A library for Convolutional Auto-Encoders
`u
代碼片段和文件信息
function?cae?=?caeapplygrads（cae）
????cae.sv?=?0;
????for?j?=?1?:?numel（cae.a）
????????for?i?=?1?:?numel（cae.i）
%?????????????cae.vik{i}{j}?=?cae.momentum?*?cae.vik{i}{j}?+?cae.alpha?./?（cae.sigma?+?cae.ddik{i}{j}）?.*?cae.dik{i}{j};
%?????????????cae.vok{i}{j}?=?cae.momentum?*?cae.vok{i}{j}?+?cae.alpha?./?（cae.sigma?+?cae.ddok{i}{j}）?.*?cae.dok{i}{j};
????????????cae.vik{i}{j}?=?cae.alpha?*?cae.dik{i}{j};
????????????cae.vok{i}{j}?=?cae.alpha?*?cae.dok{i}{j};
????????????cae.sv?=?cae.sv?+?sum（cae.vik{i}{j}（:）?.^?2）;
????????????cae.sv?=?cae.sv?+?sum（cae.vok{i}{j}（:）?.^?2）;
????????????cae.ik{i}{j}?=?cae.ik{i}{j}?-?cae.vik{i}{j};
????????????cae.ok{i}{j}?=?cae.ok{i}{j}?-?cae.vok{i}{j};
????????end
%?????????cae.vb{j}?=?cae.momentum?*?cae.vb{j}?+?cae.alpha?/?（cae.sigma?+?cae.ddb{j}）?*?cae.db{j};
????????cae.vb{j}?=?cae.alpha?*?cae.db{j};
????????cae.sv?=?cae.sv?+?sum（cae.vb{j}?.^?2）;
????????cae.b{j}?=?cae.b{j}?-?cae.vb{j};
????end
????for?i?=?1?:?numel（cae.o）
%?????????cae.vc{i}?=?cae.momentum?*?cae.vc{i}?+?cae.alpha?/?（cae.sigma?+?cae.ddc{i}）?*?cae.dc{i};
????????cae.vc{i}?=?cae.alpha?*?cae.dc{i};
????????cae.sv?=?cae.sv?+?sum（cae.vc{i}?.^?2）;
????????cae.c{i}?=?cae.c{i}?-?cae.vc{i};
????end
end
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????249??2017-08-16?15:48??DeepLearnToolbox-master\.travis.yml
?????文件???????1219??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caeapplygrads.m
?????文件????????917??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caebbp.m
?????文件???????1011??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caebp.m
?????文件????????259??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caedown.m
?????文件????????754??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caeexamples.m
?????文件???????3618??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caenumgradcheck.m
?????文件????????845??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caesdlm.m
?????文件???????1148??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caetrain.m
?????文件????????489??2017-08-16?15:48??DeepLearnToolbox-master\CAE\caeup.m
?????文件????????173??2017-08-16?15:48??DeepLearnToolbox-master\CAE\max3d.m
?????文件???????1937??2017-08-16?15:48??DeepLearnToolbox-master\CAE\scaesetup.m
?????文件????????270??2017-08-16?15:48??DeepLearnToolbox-master\CAE\scaetrain.m
?????文件????????575??2017-08-16?15:48??DeepLearnToolbox-master\CNN\cnnapplygrads.m
?????文件???????2141??2017-08-16?15:48??DeepLearnToolbox-master\CNN\cnnbp.m
?????文件???????1774??2017-08-16?15:48??DeepLearnToolbox-master\CNN\cnnff.m
?????文件???????3430??2017-08-16?15:48??DeepLearnToolbox-master\CNN\cnnnumgradcheck.m
?????文件???????2021??2017-08-16?15:48??DeepLearnToolbox-master\CNN\cnnsetup.m
?????文件????????193??2017-08-16?15:48??DeepLearnToolbox-master\CNN\cnntest.m
?????文件????????845??2017-08-16?15:48??DeepLearnToolbox-master\CNN\cnntrain.m
?????文件???14735220??2017-08-16?15:48??DeepLearnToolbox-master\CNN\mnist_uint8.mat
?????文件????????981??2017-08-16?16:49??DeepLearnToolbox-master\CNN\test_example_CNN.m
?????文件????????544??2017-08-16?15:48??DeepLearnToolbox-master\CONTRIBUTING.md
?????文件????????744??2017-08-16?15:48??DeepLearnToolbox-master\create_readme.sh
?????文件????????557??2017-08-16?15:48??DeepLearnToolbox-master\DBN\dbnsetup.m
?????文件????????232??2017-08-16?15:48??DeepLearnToolbox-master\DBN\dbntrain.m
?????文件????????425??2017-08-16?15:48??DeepLearnToolbox-master\DBN\dbnunfoldtonn.m
?????文件?????????90??2017-08-16?15:48??DeepLearnToolbox-master\DBN\rbmdown.m
?????文件???????1401??2017-08-16?15:48??DeepLearnToolbox-master\DBN\rbmtrain.m
?????文件?????????89??2017-08-16?15:48??DeepLearnToolbox-master\DBN\rbmup.m
............此處省略56個文件信息
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