COLOR(red){SIZE(30){Rで Deep Learning}} *パッケージ [#fac9d13b] **[[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] -[[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] -[[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] *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]