deeplearning
所属分类：人工智能/神经网络/深度学习
开发工具：Python
文件大小：17523KB
下载次数：83
上传日期：2016-09-11 20:35:30
上 传 者：
乱__衣服
说明： 一个深度学习的python例程，该程序可以通过学习大量手写数字的数据提取出各手写数字的特征并对其进行识别。本文件中包含运行的主程序和结果，以及运行程序所需要的python库。
(
A depth learning python routines, the program can learn a lot of handwritten digital data extracted handwritten digits of each feature and gain recognition. The main program and the results contained in this document is running, and run the program needed python library.)
文件列表:
.hgignore (28, 2013-09-14)
.travis.yml (3137, 2013-09-14)
code (0, 2016-07-10)
code\cA.py (11868, 2013-09-14)
code\convolutional_mlp.py (12301, 2013-09-14)
code\dA.py (14361, 2013-09-14)
code\DBN.py (16700, 2013-09-14)
code\hmc (0, 2013-09-14)
code\hmc\hmc.py (14997, 2013-09-14)
code\hmc\test_hmc.py (2179, 2013-09-14)
code\hmc\__init__.py (0, 2013-09-14)
code\logistic_cg.py (12243, 2013-09-14)
code\logistic_sgd.py (14860, 2013-09-14)
code\logistic_sgd.pyc (10291, 2016-07-10)
code\mlp.py (13707, 2013-09-14)
code\rbm.py (19961, 2013-09-14)
code\rnnrbm.py (11088, 2013-09-14)
code\SdA.py (18715, 2013-09-14)
code\test.py (9733, 2013-09-14)
code\utils.py (5077, 2013-09-14)
code\utils.pyc (3489, 2016-07-10)
data (0, 2013-09-14)
data\download.sh (319, 2013-09-14)
data\training_colorpatches_16x16_demo.mat (5303437, 2013-09-14)
doc (0, 2013-09-14)
doc\.templates (0, 2013-09-14)
doc\.templates\layout.html (617, 2013-09-14)
doc\conf.py (7072, 2013-09-14)
doc\contents.txt (209, 2013-09-14)
doc\dA.txt (26391, 2013-09-14)
doc\DBN.txt (21759, 2013-09-14)
doc\deep.txt (4374, 2013-09-14)
doc\gettingstarted.txt (29586, 2013-09-14)
doc\hmc.txt (29925, 2013-09-14)
doc\images (0, 2013-09-14)
doc\images\3wolfmoon.jpg (128399, 2013-09-14)
doc\images\3wolfmoon_output.png (133178, 2013-09-14)
doc\images\bm.png (15245, 2013-09-14)
... ...
To install the package, see this page:
http://deeplearning.net/software/theano/install.html
For the documentation, see the project website:
http://deeplearning.net/software/theano/
Related Projects:
https://github.com/Theano/Theano/wiki/Related-projects
We recommend you look at the documentation on the website, since it
will be more current than the documentation included with the package.
If you really wish to build the documentation yourself, you will need
sphinx. Issue the following command:
python ./doc/scripts/docgen.py
Documentation is built into html/
The PDF of the documentation is html/theano.pdf
DIRECTORY LAYOUT
Theano (current directory) is the distribution directory.
* Theano/theano contains the package
* Theano/theano has several submodules:
* gof + compile are the core
* scalar depends upon core
* tensor depends upon scalar
* sparse depends upon tensor
* sandbox can depend on everything else
* Theano/examples are copies of the example on the wiki
* Theano/benchmark and Theano/examples are in the distribution, but not in
the Python package
* Theano/bin contains executable scripts that are copied to the bin folder
when the Python package is installed
* Tests are distributed and are part of the package, i.e. fall in
the appropriate submodules
* Theano/doc contains files and scripts used to generate the documentation
* Theano/html is the place where the documentation will be generated
近期下载者：
相关文件：
收藏者：