文件名称：Deep Learning Tutorials对应资源
文件大小：5.98MB
文件格式：ZIP
更新时间：2018-06-09 16:18:00
DeepLearning
Deep Learning Tutorials电子书对应资源！
【文件预览】：
DeepLearningTutorials-master
----.travis.yml(3KB)
----README.rst(2KB)
----misc()
--------do_nightly_build(2KB)
----data()
--------training_colorpatches_16x16_demo.mat(5.06MB)
--------download.sh(1KB)
----code()
--------mlp.py(14KB)
--------DBN.py(17KB)
--------cA.py(12KB)
--------logistic_cg.py(10KB)
--------SdA.py(18KB)
--------utils.py(5KB)
--------rnnrbm.py(11KB)
--------test.py(11KB)
--------dA.py(14KB)
--------convolutional_mlp.py(12KB)
--------rnnslu.py(13KB)
--------rbm.py(20KB)
--------logistic_sgd.py(16KB)
--------hmc()
--------imdb.py(5KB)
--------lstm.py(21KB)
--------imdb_preprocess.py(3KB)
----doc()
--------gettingstarted.txt(29KB)
--------images()
--------utilities.txt(6KB)
--------conf.py(7KB)
--------lstm.txt(10KB)
--------mlp.txt(13KB)
--------DBN.txt(12KB)
--------hmc.txt(16KB)
--------rnnslu.txt(21KB)
--------dA.txt(12KB)
--------lenet.txt(23KB)
--------logreg.txt(11KB)
--------.templates()
--------rbm.txt(23KB)
--------Makefile(31B)
--------index.txt(4KB)
--------SdA.txt(8KB)
--------rnnrbm.txt(7KB)
--------scripts()
--------LICENSE.txt(1KB)
--------deep.txt(4KB)
--------references.txt(4KB)
--------contents.txt(227B)
----.gitignore(179B)
----issues_open()
--------1_SdA_performance.txt(242B)
--------6_benchmarking_pybrain.txt(3KB)
--------4_RBM_scan.txt(419B)
--------3_RBM_scan_GPU.txt(164B)
--------5_results.txt(226B)
----issues_closed()
--------2_RBM_cost_fn.txt(233B)
----.hgignore(28B)