COLOR(red){SIZE(30){Rで Deep Learning}}

*パッケージ [#fac9d13b]
**[[nnet: Feed-Forward Neural Networks and Multinomial Log-Linear Models:https://cran.r-project.org/web/packages/nnet/index.html]] [#k9f41ad7]
**[[deepnet: deep learning toolkit in R:http://cran.r-project.org/web/packages/deepnet/index.html]] [#z347f4b7]
**[[darch: Package for deep architectures and Restricted-Bolzmann-Machines:http://cran.r-project.org/web/packages/darch/index.html]] [#zaac4955]
**[[deepr:https://github.com/woobe/deepr]] [#le2bc7fb]
**[[h20:http://cran.r-project.org/web/packages/h2o/index.html]] [#b9ec665e]
-[[H2Oを用いたディープラーニング。環境構築。:http://antena.tokyo/post-735]]
-[[Rで一行でディープラーニング:http://d.hatena.ne.jp/dichika/20140503/p1]]
**[[mxnet:http://mxnet.io/api/r/index.html]] [#h630d16d]
-[[環境構築。:http://mxnet.io/get_started/install.html]]
-[[Mxnetで回帰 #TokyoR 53th:https://www.slideshare.net/eguchiakifumi/mxnet-tokyor-53th]]
-[[mxnetで頑張る深層学習 #TokyoR 57th:http://sssslide.com/www.slideshare.net/kashitan/20160924-tokyo-r57-66372506]]
**[[tensorflow:https://cran.r-project.org/web/packages/tensorflow/index.html]] [#f5aeaf60]
-[[環境構築。:http://datalove.hatenadiary.jp/entry/ml/tensorflow/now-google-machine-learning-library-tensorflow-supports-r]]
*事例 [#sc333f25]
**[[Things to try after useR! – Part 1: Deep Learning with H2O:http://blenditbayes.blogspot.jp/2014/07/things-to-try-after-user-part-1-deep.html]] [#q895ed0a]
**[[Deep Learning for R with MXNet useR! 2016 international R User conference:https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/Deep-Learning-for-R-with-MXNet]] [#q03f0176]


トップ   新規 一覧 検索 最終更新   ヘルプ   最終更新のRSS