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deeplearning 一个深度学习的python例程,该程序可以通过 大量手写数字的数据提取出各 AI-NN-PR 人工智能/神经网络 263万源代码下载- www.pudn.com
 文件名称: deeplearning下载  收藏√  [投票:非常好  5  4  3  2  1 投票:太差了]
  所属分类: AI-NN-PR
  开发工具: Python
  文件大小: 17523 KB
  上传时间: 2016-09-11
  下载次数: 0
  提 供 者: 乱_衣服
 详细说明: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(点击判断是否您需要的文件,如果是垃圾请在下面评价投诉):
  DeepLearningTutorials-master
  ............................\.gitignore
  ............................\.hgignore
  ............................\.travis.yml
  ............................\code
  ............................\....\cA.py
  ............................\....\convolutional_mlp.py
  ............................\....\dA.py
  ............................\....\DBN.py
  ............................\....\hmc
  ............................\....\...\hmc.py
  ............................\....\...\test_hmc.py
  ............................\....\...\__init__.py
  ............................\....\logistic_cg.py
  ............................\....\logistic_sgd.py
  ............................\....\logistic_sgd.pyc
  ............................\....\mlp.py
  ............................\....\rbm.py
  ............................\....\rnnrbm.py
  ............................\....\SdA.py
  ............................\....\test.py
  ............................\....\utils.py
  ............................\....\utils.pyc
  ............................\data
  ............................\....\download.sh
  ............................\....\training_colorpatches_16x16_demo.mat
  ............................\doc
  ............................\...\.templates
  ............................\...\..........\layout.html
  ............................\...\conf.py
  ............................\...\contents.txt
  ............................\...\dA.txt
  ............................\...\DBN.txt
  ............................\...\deep.txt
  ............................\...\gettingstarted.txt
  ............................\...\hmc.txt
  ............................\...\images
  ............................\...\......\3wolfmoon.jpg
  ............................\...\......\3wolfmoon_output.png
  ............................\...\......\bm.png
  ............................\...\......\cnn_explained.png
  ............................\...\......\conv_1D_nn.png
  ............................\...\......\DBN3.png
  ............................\...\......\filters_at_epoch_14.png
  ............................\...\......\filters_corruption_0.png
  ............................\...\......\filters_corruption_30.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
  ............................\...\intro.txt
  ............................\...\lenet.txt
  ............................\...\LICENSE.txt
  ............................\...\logreg.txt
  ............................\...\Makefile
  ............................\...\mlp.txt
  ............................\...\rbm.txt
  ............................\...\references.txt
  ............................\...\rnnrbm.txt
  ............................\...\scripts
  ............................\...\.......\docgen.py
  ............................\...\SdA.txt
  ............................\...\utilities.txt
  ............................\issues_closed
  ............................\.............\2_RBM_cost_fn.txt
  ............................\issues_open
  ............................\...........\1_SdA_performance.txt
  ............................\...........\3_RBM_scan_GPU.txt
  ............................\...........\4_RBM_scan.txt
  ............................\...........\5_results.txt
  ............................\...........\6_benchmarking_pybrain.txt
  ............................\misc
  ............................\....\do_nightly_build
  ............................\README.rst
  Theano-0.8.2
  ............\benchmark
  ............\.........\convolution
  ............\.........\...........\bench.sh
  ............\bin
  ............\...\theano-cache
  ............\...\theano-nose
  ............\...\theano-test
  ............\build
  ............\.....\bdist.win32
  ............\.....\lib
  ............\.....\...\theano
  ............\.....\...\......\compat
  ............\.....\...\......\......\python2x.py
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