文件名称:DeepLearningTutorials-master
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Linux] [SHELL] [源码]
- 上传时间：
- 2015-04-02
- 文件大小：
- 5.99mb
- 下载次数：
- 0次
- 提 供 者：
- jia****
- 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！
介绍说明－－下载内容均来自于网络，请自行研究使用
深入学习是机器学习研究的一个新领域,已介绍了移动机器学习的目标更接近原来的目标之一:人工智能。深度学习学习多个水平的代表性和抽象,帮助理解数据(如图像、声音和文字。本文提供的教程将向您介绍一些最重要的深度学习算法,还将向您展示如何使用Theano运行它们。Theano是一个python库,使写作深度学习模型简单,并提供培训在GPU的选项。-run them using Theano. Theano is a python library that makes writing deep learning models easy, and gives the option of training them on a GPU.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
DeepLearningTutorials-master
............................\.gitignore
............................\.hgignore
............................\.travis.yml
............................\README.rst
............................\code
............................\....\DBN.py
............................\....\SdA.py
............................\....\cA.py
............................\....\convolutional_mlp.py
............................\....\dA.py
............................\....\hmc
............................\....\...\__init__.py
............................\....\...\hmc.py
............................\....\...\test_hmc.py
............................\....\imdb.py
............................\....\imdb_preprocess.py
............................\....\logistic_cg.py
............................\....\logistic_sgd.py
............................\....\lstm.py
............................\....\mlp.py
............................\....\rbm.py
............................\....\rnnrbm.py
............................\....\rnnslu.py
............................\....\test.py
............................\....\utils.py
............................\data
............................\....\download.sh
............................\....\training_colorpatches_16x16_demo.mat
............................\doc
............................\...\.templates
............................\...\..........\layout.html
............................\...\DBN.txt
............................\...\LICENSE.txt
............................\...\Makefile
............................\...\SdA.txt
............................\...\conf.py
............................\...\contents.txt
............................\...\dA.txt
............................\...\deep.txt
............................\...\gettingstarted.txt
............................\...\hmc.txt
............................\...\images
............................\...\......\3wolfmoon.jpg
............................\...\......\3wolfmoon_output.png
............................\...\......\DBN3.png
............................\...\......\bm.png
............................\...\......\cnn_explained.png
............................\...\......\conv_1D_nn.png
............................\...\......\filters_at_epoch_14.png
............................\...\......\filters_corruption_0.png
............................\...\......\filters_corruption_30.png
............................\...\......\lstm.png
............................\...\......\lstm_memorycell.png
............................\...\......\markov_chain.png
............................\...\......\mlp.png
............................\...\......\mnist_0.png
............................\...\......\mnist_1.png
............................\...\......\mnist_2.png
............................\...\......\mnist_3.png
............................\...\......\mnist_4.png
............................\...\......\mnist_5.png
............................\...\......\mylenet.png
............................\...\......\rbm.png
............................\...\......\rnnrbm.png
............................\...\......\rnnrbm.svg
............................\...\......\sample1.png
............................\...\......\sample2.png
............................\...\......\samples.png
............................\...\......\sparse_1D_nn.png
............................\...\index.txt
............................\...\lenet.txt
............................\...\logreg.txt
............................\...\lstm.txt
............................\...\mlp.txt
............................\...\rbm.txt
............................\...\references.txt
............................\...\rnnrbm.txt
............................\...\rnnslu.txt
............................\...\scripts
............................\...\.......\docgen.py
............................\...\utilities.txt
............................\issues_closed
............................\.............\2_RBM_cost_fn.txt
............................\issues_open
............................\...........\1_SdA_performance.txt
..........................