{"id":4937,"date":"2020-01-01T00:00:00","date_gmt":"2019-12-31T15:00:00","guid":{"rendered":"https:\/\/majisemi.com\/topics\/uncategorized\/4937\/"},"modified":"2020-01-01T00:00:00","modified_gmt":"2019-12-31T15:00:00","slug":"%e3%80%90oss%e6%83%85%e5%a0%b1%e3%82%a2%e3%83%bc%e3%82%ab%e3%82%a4%e3%83%96%e3%80%91pylearn2","status":"publish","type":"post","link":"https:\/\/majisemi.com\/topics\/oss\/4937\/","title":{"rendered":"\u3010OSS\u60c5\u5831\u30a2\u30fc\u30ab\u30a4\u30d6\u3011Pylearn2"},"content":{"rendered":"<p><small><span style=\"border-bottom: solid 5px red;\">\u203b\u5f53\u8a18\u4e8b\u306b\u8a18\u8f09\u3055\u308c\u3066\u3044\u308b\u60c5\u5831\u306f\u3001\u53e4\u304f\u306a\u3063\u3066\u3044\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8\u3067\u6700\u65b0\u60c5\u5831\u3092\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/span><\/small><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_83 counter-hierarchy 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ez-toc-heading-3\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#%E3%80%8CPylearn2%E3%80%8D%E3%81%AE%E4%B8%BB%E3%81%AA%E7%89%B9%E5%BE%B4%E2%96%A0%E3%80%8CTheano%E3%80%8D%E3%83%99%E3%83%BC%E3%82%B9\" >\u300cPylearn2\u300d\u306e\u4e3b\u306a\u7279\u5fb4\u25a0\u300cTheano\u300d\u30d9\u30fc\u30b9<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A0Pylearn2%E3%81%A8%E3%81%AF%E5%85%A5%E9%96%80%E7%B7%A8%E3%80%8CPylearn2%E3%80%8D%E3%81%AE%E6%A6%82%E8%A6%81%E3%81%AB%E3%81%A4%E3%81%84%E3%81%A6%E8%A7%A3%E8%AA%AC%E3%81%97%E3%81%A6%E3%81%84%E3%82%8B%E5%8F%82%E8%80%83%E3%82%B5%E3%82%A4%E3%83%88%E3%82%92%E7%B4%B9%E4%BB%8B%E3%81%97%E3%81%BE%E3%81%99%E3%80%82%E2%96%A0Pylearn2%E8%AC%9B%E6%BC%94%E3%83%AC%E3%83%9D%E3%83%BC%E3%83%88\" >Pylearn2\u53c2\u8003\u60c5\u5831\u2460Pylearn2\u3068\u306f(\u5165\u9580\u7de8)\u300cPylearn2\u300d\u306e\u6982\u8981\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u3066\u3044\u308b\u53c2\u8003\u30b5\u30a4\u30c8\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002\u25a0Pylearn2\u8b1b\u6f14\u30ec\u30dd\u30fc\u30c8<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A1Pylearn2%E3%81%AE%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%BC%E3%83%AB%E3%82%AA%E3%83%BC%E3%83%97%E3%83%B3%E3%82%BD%E3%83%BC%E3%82%B9%E3%83%87%E3%82%A3%E3%83%BC%E3%83%97%E3%83%A9%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E3%83%A9%E3%82%A4%E3%83%96%E3%83%A9%E3%83%AA%E3%80%8CPylearn2%E3%80%8D%E3%82%92%E5%90%84%E7%92%B0%E5%A2%83%E3%81%AB%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%BC%E3%83%AB%E3%81%99%E3%82%8B%E6%96%B9%E6%B3%95%E3%82%92%E7%B4%B9%E4%BB%8B%E3%81%97%E3%81%BE%E3%81%99%E3%80%82%E2%96%A0%E3%82%AA%E3%83%95%E3%82%A3%E3%82%B7%E3%83%A3%E3%83%AB%E3%82%B5%E3%82%A4%E3%83%88%E3%80%8CDownload_and_installation%E3%80%8D\" >Pylearn2\u53c2\u8003\u60c5\u5831\u2461Pylearn2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u3092\u5404\u74b0\u5883\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002\u25a0\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8\u300cDownload and installation\u300d<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A2Pylearn2%E3%81%AE%E3%83%81%E3%83%A5%E3%83%BC%E3%83%88%E3%83%AA%E3%82%A2%E3%83%AB\" >Pylearn2\u53c2\u8003\u60c5\u5831\u2462Pylearn2\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A2Pylearn2%E3%81%AE%E3%83%81%E3%83%A5%E3%83%BC%E3%83%88%E3%83%AA%E3%82%A2%E3%83%AB%E3%82%AA%E3%83%BC%E3%83%97%E3%83%B3%E3%82%BD%E3%83%BC%E3%82%B9%E3%83%87%E3%82%A3%E3%83%BC%E3%83%97%E3%83%A9%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E3%83%A9%E3%82%A4%E3%83%96%E3%83%A9%E3%83%AA%E3%80%8CPylearn2%E3%80%8D%E3%81%AE%E3%83%81%E3%83%A5%E3%83%BC%E3%83%88%E3%83%AA%E3%82%A2%E3%83%AB%E5%AE%9F%E6%96%BD%E6%96%B9%E6%B3%95%E3%81%AB%E3%81%A4%E3%81%84%E3%81%A6%E7%B4%B9%E4%BB%8B%E3%81%97%E3%81%BE%E3%81%99%E3%80%82%E2%96%A0%E3%82%AA%E3%83%95%E3%82%A3%E3%82%B7%E3%83%A3%E3%83%AB%E3%82%B5%E3%82%A4%E3%83%88%E3%80%8CQuick-start_example%E3%80%8D\" >Pylearn2\u53c2\u8003\u60c5\u5831\u2462Pylearn2\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u5b9f\u65bd\u65b9\u6cd5\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u307e\u3059\u3002\u25a0\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8\u300cQuick-start example\u300d<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A3Pylearn2%E3%81%AE%E4%BD%BF%E3%81%84%E6%96%B9\" >Pylearn2\u53c2\u8003\u60c5\u5831\u2463Pylearn2\u306e\u4f7f\u3044\u65b9<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A3Pylearn2%E3%81%AE%E4%BD%BF%E3%81%84%E6%96%B9%E3%82%AA%E3%83%BC%E3%83%97%E3%83%B3%E3%82%BD%E3%83%BC%E3%82%B9%E3%83%87%E3%82%A3%E3%83%BC%E3%83%97%E3%83%A9%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E3%83%A9%E3%82%A4%E3%83%96%E3%83%A9%E3%83%AA%E3%80%8CPylearn2%E3%80%8D%E3%82%92%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%BC%E3%83%AB%E5%BE%8C%E3%81%AE%E3%80%8C%E4%BD%BF%E3%81%84%E6%96%B9%E3%80%8D%E3%80%8C%E6%B0%97%E3%82%92%E3%81%A4%E3%81%91%E3%82%8B%E3%81%B9%E3%81%8D%E3%83%9D%E3%82%A4%E3%83%B3%E3%83%88%E3%80%8D%E3%81%AA%E3%81%A9%E3%81%AB%E3%81%A4%E3%81%84%E3%81%A6%E5%8F%82%E7%85%A7%E3%81%A7%E3%81%8D%E3%82%8B%E3%82%B5%E3%82%A4%E3%83%88%E3%82%92%E7%B4%B9%E4%BB%8B%E3%81%97%E3%81%BE%E3%81%99%E3%80%82%E2%96%A0%E8%87%AA%E5%88%86%E3%81%A7%E3%83%87%E3%83%BC%E3%82%BF%E3%82%92%E4%BD%9C%E3%82%8A%E5%AD%A6%E7%BF%92%E3%81%95%E3%81%9B%E3%82%8B\" >Pylearn2\u53c2\u8003\u60c5\u5831\u2463Pylearn2\u306e\u4f7f\u3044\u65b9\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u5f8c\u306e\u300c\u4f7f\u3044\u65b9\u300d\u300c\u6c17\u3092\u3064\u3051\u308b\u3079\u304d\u30dd\u30a4\u30f3\u30c8\u300d\u306a\u3069\u306b\u3064\u3044\u3066\u53c2\u7167\u3067\u304d\u308b\u30b5\u30a4\u30c8\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002\u25a0\u81ea\u5206\u3067\u30c7\u30fc\u30bf\u3092\u4f5c\u308a\u5b66\u7fd2\u3055\u305b\u308b<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A4Pylearn2%E3%81%AEPython%E5%AE%9F%E8%A3%85%E4%BA%8B%E4%BE%8B\" >Pylearn2\u53c2\u8003\u60c5\u5831\u2464Pylearn2\u306ePython\u5b9f\u88c5\u4e8b\u4f8b<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/majisemi.com\/topics\/oss\/4937\/#Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A4Pylearn2%E3%81%AEPython%E5%AE%9F%E8%A3%85%E4%BA%8B%E4%BE%8B%E3%82%AA%E3%83%BC%E3%83%97%E3%83%B3%E3%82%BD%E3%83%BC%E3%82%B9%E3%83%87%E3%82%A3%E3%83%BC%E3%83%97%E3%83%A9%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E3%83%A9%E3%82%A4%E3%83%96%E3%83%A9%E3%83%AA%E3%80%8CPylearn2%E3%80%8D%E3%82%92%E4%BD%BF%E7%94%A8%E3%81%97%E3%81%A6%E3%80%81%E4%BA%88%E6%B8%AC%E3%82%84%E5%88%86%E6%9E%90%E3%81%AA%E3%81%A9%E3%82%92%E8%A1%8C%E3%81%A3%E3%81%A6%E3%81%84%E3%82%8B%E4%BA%8B%E4%BE%8B%E3%82%92%E5%8F%82%E7%85%A7%E3%81%A7%E3%81%8D%E3%82%8B%E3%82%B5%E3%82%A4%E3%83%88%E3%82%92%E7%B4%B9%E4%BB%8B%E3%81%97%E3%81%BE%E3%81%99%E3%80%82%E2%96%A0Pylearn2%E3%81%AE%E5%AE%9F%E8%A3%85%E3%81%AE%E6%B5%81%E3%82%8C\" >Pylearn2\u53c2\u8003\u60c5\u5831\u2464Pylearn2\u306ePython\u5b9f\u88c5\u4e8b\u4f8b\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u3092\u4f7f\u7528\u3057\u3066\u3001\u4e88\u6e2c\u3084\u5206\u6790\u306a\u3069\u3092\u884c\u3063\u3066\u3044\u308b\u4e8b\u4f8b\u3092\u53c2\u7167\u3067\u304d\u308b\u30b5\u30a4\u30c8\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002\u25a0Pylearn2\u306e\u5b9f\u88c5\u306e\u6d41\u308c<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1 class=\"h1Custom\"><span class=\"ez-toc-section\" id=\"%E3%80%8CPylearn2%E3%80%8D%E3%81%A8%E3%81%AF\"><\/span>\u300cPylearn2\u300d\u3068\u306f<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<h3 class=\"h2smalltitle\">\u300cPylearn2\u300d\u57fa\u672c\u60c5\u5831<\/h2>\n<h4 class=\"subtitle-h4\">\u25a0\u6982\u8981<\/h3>\n<p>Pylearn2(\u30d1\u30a4\u30e9\u30fc\u30f3\u30c4\u30fc)\u3068\u306f\u3001\u6570\u5024\u8a08\u7b97\u30e9\u30a4\u30d6\u30e9\u30ea\u300cTheano\u300d\u30d9\u30fc\u30b9\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u57fa\u672c\u8aac\u660e<\/h3>\n<p>Pylearn2\u306f\u3001\u753b\u50cf\u8a8d\u8b58\u51e6\u7406\u306a\u3069\u3092\u5f97\u610f\u3068\u3059\u308b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u81ea\u52d5\u5fae\u5206\u304c\u512a\u308c\u3066\u3044\u308b\u306e\u304c\u7279\u5fb4\u3067\u3059\u3002<\/p>\n<p>\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u6280\u8853\u306e\u7814\u7a76\u7528\u30e9\u30a4\u30d6\u30e9\u30ea\u3068\u3057\u3066\u306e\u4e00\u9762\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u7d4c\u7def<\/h3>\n<p>\u30ab\u30ca\u30c0\u306e\u30e2\u30f3\u30c8\u30ea\u30aa\u30fc\u30eb\u5927\u5b66\u304c\u4e2d\u5fc3\u3068\u306a\u308a\u958b\u767a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8\u60c5\u5831<\/h3>\n<h5>\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8<\/h5>\n<p><a href=\"http:\/\/deeplearning.net\/software\/pylearn2\/\" target=\"jumpsite\" rel=\"noopener\">\u2192Pylearn2<\/a><\/p>\n<h5>\u30e9\u30a4\u30bb\u30f3\u30b9\u60c5\u5831<\/h5>\n<p>Pylearn2\u306e\u30e9\u30a4\u30bb\u30f3\u30b9\u306f\u300c3\u6761\u9805BSD\u30e9\u30a4\u30bb\u30f3\u30b9\u300d\u3067\u3059\u3002<\/p>\n<p>\u8a73\u7d30\u306b\u3064\u3044\u3066\u3001\u3053\u3061\u3089\u3092\u53c2\u7167\u304f\u3060\u3055\u3044\u3002<br \/><a href=\"http:\/\/deeplearning.net\/software\/pylearn2\/#license-and-citations\" target=\"jumpsite\" rel=\"noopener\">\u2192Pylearn2\u3000\u2192License and Citations<\/a><\/p>\n<h5>\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/h5>\n<p><a href=\"http:\/\/deeplearning.net\/software\/pylearn2\/#download-and-installation\" target=\"jumpsite\" rel=\"noopener\">\u2192Pylearn2\u3000\u2192Download and installation<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u540c\u69d8\u88fd\u54c1<\/h3>\n<p>\u540c\u69d8\u306a\u6a5f\u80fd\u3092\u63d0\u4f9b\u3059\u308b\u88fd\u54c1\u3068\u3057\u3066\u3001\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u88fd\u54c1\uff1a\u300c<a href=\"https:\/\/www.ossnews.jp\/oss_info\/Theano\" target=\"jumpsite\" rel=\"noopener\">Theano<\/a>\u300d\u300c<a href=\"https:\/\/www.ossnews.jp\/oss_info\/Caffe\" target=\"jumpsite\" rel=\"noopener\">Caffe<\/a>\u300d\u300c<a href=\"https:\/\/www.ossnews.jp\/oss_info\/Chainer\" target=\"jumpsite\" rel=\"noopener\">Chainer<\/a>\u200b\u300d\u306a\u3069\u3002<\/p>\n<h3 class=\"h2smalltitle\">\u300cPylearn2\u300d\u306e\u4e3b\u306a\u7279\u5fb4<\/h2>\n<h4 class=\"subtitle-h4\">\u25a0\u300cTheano\u300d\u30d9\u30fc\u30b9<\/h3>\n<p>Pylearn2\u306f\u3001\u5927\u90e8\u5206\u306e\u6a5f\u80fd\u3092\u6570\u5024\u8a08\u7b97\u30e9\u30a4\u30d6\u30e9\u30ea\u300cTheano\u300d\u3092\u57fa\u76e4\u3068\u3057\u3066\u69cb\u7bc9\u3055\u308c\u3001\u6539\u826f\u304c\u52a0\u3048\u3089\u308c\u305f\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n<p>Pylearn2\u3092\u4f7f\u7528\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u300cTheano\u300d\u3068\u300cTheano\u306e\u4f9d\u5b58\u95a2\u4fc2\u300d\u304c\u5fc5\u8981\u3067\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u6a5f\u80fd\u7684\u306b\u306f\u300cTheano\u300d\u3068\u4f3c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u300cTheano\u300d\u3068\u306f<\/h5>\n<p>Theano(\u30c6\u30a2\u30ce)\u3068\u306f\u3001Python\u7528\u6570\u5024\u8a08\u7b97\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002\u591a\u6b21\u5143\u914d\u5217\u3092\u52b9\u7387\u7684\u306b\u4f7f\u7528\u3059\u308b\u6570\u5f0f\u306b\u3064\u3044\u3066\u5b9a\u7fa9\/\u6700\u9069\u5316\/\u8a55\u4fa1\u3067\u304d\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u8a08\u7b97\u51e6\u7406\u306b\u3088\u304f\u5229\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<p><a href=\"https:\/\/www.ossnews.jp\/oss_info\/Theano\" target=\"jumpsite\" rel=\"noopener\">\u2192OSSxCloudNews\u3000\u2192\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306eAI\u30fb\u4eba\u5de5\u77e5\u80fd\uff0fTheano\u3068\u306f<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u30d7\u30e9\u30b0\u30a4\u30f3<\/h3>\n<p>Pylearn2\u306e\u6700\u3082\u5927\u304d\u306a\u7279\u5fb4\u306f\u3001\u30d7\u30e9\u30b0\u30a4\u30f3\u306b\u3088\u308b\u300c\u67d4\u8edf\u6027\u300d\u306b\u3042\u308a\u307e\u3059\u3002\u300c\u7814\u7a76\u8005\u304c\u884c\u3044\u305f\u3044\u7814\u7a76\u3092\u3059\u3079\u3066\u53ef\u80fd\u306b\u3059\u308b\u300d\u3053\u3068\u3092\u76ee\u7684\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Pylearn2\u30d7\u30e9\u30b0\u30a4\u30f3(\u65b0\u3057\u3044\u30bf\u30a4\u30d7\u306e\u30e2\u30c7\u30eb\/\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306a\u3069)\u306b\u3064\u3044\u3066\u3001\u6570\u5f0f\u3092\u4f7f\u3063\u3066\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002\u30d9\u30fc\u30b9\u3068\u306a\u3063\u3066\u3044\u308b\u300cTheano\u300d\u304c\u305d\u308c\u3089\u306e\u6570\u5f0f\u3092\u6700\u9069\u5316\u3057\u3066\u5b89\u5b9a\u3055\u305b\u3001\u9078\u629e\u3057\u305f\u30d0\u30c3\u30af\u30a8\u30f3\u30c9(CPU\u307e\u305f\u306fGPU)\u5411\u3051\u306b\u30b3\u30f3\u30d1\u30a4\u30eb\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0GPU\u5bfe\u5fdc<\/h3>\n<p>\u30aa\u30d7\u30b7\u30e7\u30f3\u3092\u8a2d\u5b9a\u3059\u308b\u3060\u3051\u3067\u3001GPU\u7528\u8a08\u7b97\u30b3\u30fc\u30c9\u3092\u751f\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0GPU\u7573\u307f\u8fbc\u307f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30e9\u30c3\u30d1\u30fc<\/h3>\n<p>Pylearn2\u306f\u3001\u6975\u3081\u3066\u52b9\u7387\u7684\u306a\u300cGPU\u7573\u307f\u8fbc\u307f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e9\u30a4\u30d6\u30e9\u30ea\u30e9\u30c3\u30d1\u30fc\u300d\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3053\u306e\u30e9\u30c3\u30d1\u30fc\u306b\u3088\u308a\u3001\u6700\u5c0f\u9650\u306e\u30aa\u30fc\u30d0\u30fc\u30d8\u30c3\u30c9\u3067Theano\u306e\u5404\u7a2e\u6a5f\u80fd\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0YAML\u5f62\u5f0f<\/h3>\n<p>Pylearn2\u306e\u30d9\u30fc\u30b7\u30c3\u30af\u306a\u5229\u7528\u65b9\u6cd5\u306f\u3001YAML\u5f62\u5f0f\u3067\u8a18\u8ff0\u3057\u3066\u5b9f\u884c\u3055\u305b\u308b\u65b9\u6cd5\u3067\u3059\u3002<\/p>\n<p>YAML(YAML Ain&#039;t Markup Language)\u3068\u306f\u3001\u69cb\u9020\u5316\u30c7\u30fc\u30bf\u3092\u8868\u73fe\u3059\u308b\u305f\u3081\u306e\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3067\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u30ec\u30a4\u30e4\u30fc\u69cb\u9020\u3001\u30c6\u30b9\u30c8\u65b9\u6cd5\u306a\u3069\u3092\u8a18\u8ff0\u3057\u307e\u3059\u3002<\/p>\n<h3 class=\"h2smalltitle\">Pylearn2\u53c2\u8003\u60c5\u5831\u2460Pylearn2\u3068\u306f(\u5165\u9580\u7de8)<\/h2>\n<p>\u300cPylearn2\u300d\u306e\u6982\u8981\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u3066\u3044\u308b\u53c2\u8003\u30b5\u30a4\u30c8\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0Pylearn2\u8b1b\u6f14\u30ec\u30dd\u30fc\u30c8<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Python\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u300cPyData Tokyo\u300d\u306b\u3088\u308b\u7b2c1\u56de\u52c9\u5f37\u4f1a\u300cPyData Tokyo Meetup #1 &#8211; Deep Learning\u300d\u306b\u3066\u884c\u308f\u308c\u305f\u3001Pylearn2\u306e\u8b1b\u6f14\u5185\u5bb9\u306b\u3064\u3044\u3066\u30ec\u30dd\u30fc\u30c8\u3068\u3057\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fb\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d<br \/>\u30fbPylearn2\u306e\u5229\u7528\u65b9\u6cd5<br \/>\u30fb\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u69cb\u6210<br \/>\u30fb\u8a2d\u5b9a\u3068\u5b9f\u884c<br \/>\u30fb\u5168\u4f53\u3092\u901a\u3058\u3066<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"https:\/\/codezine.jp\/article\/detail\/8315?p=2\" target=\"jumpsite\" rel=\"noopener\">\u2192CodeZine\u3000\u2192Python\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30c4\u30fc\u30c8\u30c3\u30d7\u300cPylearn2\u300d\u300cCaffe\u300d\u3068\u306f\uff5ePyData Tokyo Meetup #1\u30a4\u30d9\u30f3\u30c8\u30ec\u30dd\u30fc\u30c8<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0GitHub\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>GitHub\u4e0a\u306b\u3042\u308bPylearn2\u8aac\u660e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8(\u82f1\u8a9e\u7248)\u3067\u3059\u3002<\/p>\n<p>\u30af\u30a4\u30c3\u30af\u30b9\u30bf\u30fc\u30c8\u3001\u30cf\u30a4\u30e9\u30a4\u30c8\u3001\u30e9\u30a4\u30bb\u30f3\u30b9\u306a\u3069\u306b\u3064\u3044\u3066\u8aac\u660e\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fbQuick start and basic design rules<br \/>\u30fbHighlights<br \/>\u30fbLicense and Citations<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"https:\/\/github.com\/lisa-lab\/pylearn2\" target=\"jumpsite\" rel=\"noopener\">\u2192GitHub\u3000\u2192lisa-lab\/pylearn2\u3000\u2192Pylearn2: A machine learning research library<\/a><\/p>\n<h3 class=\"h2smalltitle\">Pylearn2\u53c2\u8003\u60c5\u5831\u2461Pylearn2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n<p>\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u3092\u5404\u74b0\u5883\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8\u300cDownload and installation\u300d<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u89e3\u8aac(\u82f1\u8a9e\u7248)\u3067\u3059\u3002<\/p>\n<p>git\u3067\u53d6\u5f97\u3057\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u884c\u3044\u307e\u3059\u3002Vagrant\u3092\u5229\u7528\u3057\u305f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5\u3082\u89e3\u8aac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>DATA_PATH\u306e\u8a2d\u5b9a\u3001\u4f9d\u5b58\u95a2\u4fc2\u306b\u3064\u3044\u3066\u3082\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/deeplearning.net\/software\/pylearn2\/#download-and-installation\" target=\"jumpsite\" rel=\"noopener\">\u2192Pylearn2 dev documentation\u3000\u2192Download and installation<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0Linux(Ubuntu)\u7de8<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>GPU\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u3092\u5229\u7528\u3067\u304d\u308b\u74b0\u5883(Ubntu14.04)\u306bPylearn2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u624b\u9806\u306b\u3064\u3044\u3066\u89e3\u8aac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Ubuntu\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304b\u3089\u59cb\u3081\u3066\u3001CUDA\u306e\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u3082\u884c\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fbUbntu14.04\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3068CUDA\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7<br \/>\u30fbPython modules<br \/>\u30fbTheano \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\u30fbTheano \u8a2d\u5b9a\u8abf\u6574<br \/>\u30fbPylearn2 \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\u30fbPylearn2 \u52d5\u4f5c\u78ba\u8a8d<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/labs.beatcraft.com\/ja\/index.php?Pylearn2%20setup\" target=\"jumpsite\" rel=\"noopener\">\u2192BEATCRAFT\u3000\u2192Pylearn2 setup<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0Windows\u7de8<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Windows8.1(64bit)\u306bTheano+Pylearn2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u624b\u9806\u304c\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>GPU\u3042\u308a\u74b0\u5883\u3067\u3001Anaconda\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fbAnaconda Python2.7<br \/>\u30fbVisual Studio 2013 community<br \/>\u30fb\u4f9d\u5b58\u30d1\u30c3\u30b1\u30fc\u30b8<br \/>\u30fbCUDA Toolkit<br \/>\u30fbGit<br \/>\u30fbPyCUDA<br \/>\u30fbTheano<br \/>\u30fbpylearn2<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/may46onez.hatenablog.com\/entry\/2015\/11\/21\/150621\" target=\"jumpsite\" rel=\"noopener\">\u2192\u5099\u5fd8\u9332\u3068\u304b\u65e5\u5e38\u3068\u304b\u3000\u219264bit windows8.1 \u306b Theano, Pylearn2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb(GPU\u4f7f\u7528, Anaconda)<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0Mac\u7de8<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>macbook\u306bPylearn2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u89e3\u8aac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u300c0\u304b\u3089Pylearn2\u3092\u52d5\u304b\u3059\u307e\u3067\u3092\u524d\u63d0\u300d\u3068\u3055\u308c\u3066\u3044\u3066\u3001\u7d30\u304b\u304f\u8aac\u660e\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u5931\u6557\u6642\u306e\u5404\u7a2e\u30a8\u30e9\u30fc\u5bfe\u51e6\u65b9\u6cd5\u306b\u3064\u3044\u3066\u3082\u89e3\u8aac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fb\u74b0\u5883<br \/>\u30fb\u53c2\u8003<br \/>\u30fb\u524d\u63d0<br \/>\u30fbTheano\u306e\u5185\u90e8\u5229\u7528\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\u30fb\u4f9d\u5b58\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\u30fbTheano\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\u30fbPylearn2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\u30fb\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u69cb\u7bc9<br \/>\u30fb\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<br \/>\u30fb\u30a8\u30e9\u30fc\u5bfe\u51e6<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"https:\/\/github.com\/peace098beat\/deeplearning_0.1_documentation\/wiki\/Pylearn2%E3%81%AE%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%BC%E3%83%AB%E6%96%B9%E6%B3%95\" target=\"jumpsite\" rel=\"noopener\">\u2192GitHub\u3000\u2192peace098beat\/deeplearning_0.1_documentation\u3000\u2192Pylearn2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5<\/a><\/p>\n<h1 class=\"h1Custom\"><span class=\"ez-toc-section\" id=\"Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A2Pylearn2%E3%81%AE%E3%83%81%E3%83%A5%E3%83%BC%E3%83%88%E3%83%AA%E3%82%A2%E3%83%AB\"><\/span>Pylearn2\u53c2\u8003\u60c5\u5831\u2462Pylearn2\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<h3 class=\"h2smalltitle\">Pylearn2\u53c2\u8003\u60c5\u5831\u2462Pylearn2\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<\/h2>\n<p>\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u5b9f\u65bd\u65b9\u6cd5\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8\u300cQuick-start example\u300d<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2\u30aa\u30d5\u30a3\u30b7\u30e3\u30eb\u30b5\u30a4\u30c8\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u89e3\u8aac(\u82f1\u8a9e\u7248)\u3067\u3059\u3002<\/p>\n<p>\u300c1\uff0e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u4f5c\u6210\u300d\u300c2\uff0e\u30e2\u30c7\u30eb\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u300d\u300c3\uff0e\u30e2\u30c7\u30eb\u691c\u67fb\u300d\u306e3\u30b9\u30c6\u30c3\u30d7\u3067\u89e3\u8aac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>Step 1: Create the dataset<br \/>Step 2: Train the model<br \/>Step 3: Inspect the model<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/deeplearning.net\/software\/pylearn2\/tutorial\/\" target=\"jumpsite\" rel=\"noopener\">\u2192Pylearn2 dev documentation\u3000\u2192Quick-start example<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u516c\u5f0f\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u5b9f\u8df5<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u5f8c\u306b\u3001\u516c\u5f0f\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u53c2\u8003\u306b\u3057\u3066\u3001\u753b\u50cf\u8868\u793a\u3059\u308b\u3068\u3053\u308d\u307e\u3067\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fbPylearn2\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<br \/>\u30fb\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\u30fb\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u52d5\u304b\u3059<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/qiita.com\/bububu\/items\/3f9c97b32e8d6e37abad\" target=\"jumpsite\" rel=\"noopener\">\u2192Qiita\u3000\u2192\u4eca\u30ca\u30a6\u3044\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3068\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u968e\u5c64\u578b\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u5b66\u7fd2\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u300cstacked_autoencoder\u300d<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>\u300cstacked_autoencoder\u300d\u3068\u3044\u3046\u968e\u5c64\u578b\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u5b66\u7fd2\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u306e\u5b9f\u65bd\u30ec\u30dd\u30fc\u30c8\u3068\u3057\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Mac\u74b0\u5883\u3067\u5b9f\u65bd\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fb\u5b9f\u9a13\u74b0\u5883<br \/>\u30fbpylearn2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5<br \/>\u30fb\u53c2\u8003\u306b\u3057\u305f\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<br \/>\u30fbstacked_autoencoder\u306e\u8aac\u660e<br \/>\u30fb\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6e96\u5099<br \/>\u30fb\u7528\u610f\u3057\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u5b66\u7fd2<br \/>\u30fb\u5b66\u7fd2\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3092\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306b\u9069\u7528<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/qiita.com\/RyotaKatoh\/items\/0369dbd57804d086258d\" target=\"jumpsite\" rel=\"noopener\">\u2192Qiita\u3000\u2192pylearn2\u3067\u968e\u5c64\u578b\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u306e\u5b66\u7fd2<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u300cSoftmax Regression\u300d+\u300cMultilayer Perceptron\u300d<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u591a\u30af\u30e9\u30b9\u7248\u300cSoftmax Regression\u300d\u3068\u591a\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u300cMultilayer Perceptron\u300d\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u5b9f\u65bd\u3057\u305f\u30ec\u30dd\u30fc\u30c8\u3068\u3057\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>[Softmax Regression]<br \/>\u30fb\u30c7\u30fc\u30bf\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<br \/>\u30fbYAML\u30d5\u30a1\u30a4\u30eb\u306e\u8a18\u8ff0\u3092\u7406\u89e3\u3059\u308b<br \/>\u30fb\u5b66\u7fd2\u3055\u305b\u3066\u307f\u308b<br \/>[Multilayer Perceptron]<br \/>\u30fbPart2<br \/>\u30fb\u3061\u3087\u3063\u3068\u5bc4\u308a\u9053<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/takatakamanbou.hatenablog.com\/entry\/2014\/08\/23\/174750\" target=\"jumpsite\" rel=\"noopener\">\u2192\u307e\u3093\u307c\u3046\u65e5\u8a18 \u3000\u2192Pylearn2 \u306e tutorial \u3067\u304a\u52c9\u5f37<\/a><\/p>\n<h1 class=\"h1Custom\"><span class=\"ez-toc-section\" id=\"Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A3Pylearn2%E3%81%AE%E4%BD%BF%E3%81%84%E6%96%B9\"><\/span>Pylearn2\u53c2\u8003\u60c5\u5831\u2463Pylearn2\u306e\u4f7f\u3044\u65b9<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<h3 class=\"h2smalltitle\">Pylearn2\u53c2\u8003\u60c5\u5831\u2463Pylearn2\u306e\u4f7f\u3044\u65b9<\/h2>\n<p>\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u5f8c\u306e\u300c\u4f7f\u3044\u65b9\u300d\u300c\u6c17\u3092\u3064\u3051\u308b\u3079\u304d\u30dd\u30a4\u30f3\u30c8\u300d\u306a\u3069\u306b\u3064\u3044\u3066\u53c2\u7167\u3067\u304d\u308b\u30b5\u30a4\u30c8\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u81ea\u5206\u3067\u30c7\u30fc\u30bf\u3092\u4f5c\u308a\u5b66\u7fd2\u3055\u305b\u308b<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u5f8c\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u3001\u81ea\u5206\u3067\u30c7\u30fc\u30bf\u3092\u4f5c\u308arbm\u3067\u5b66\u7fd2\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>[vagrant install \u3068\u304b pylearn2 install \u6e08\u307f\u306e vm \u4f5c\u6210\u306a\u3069]<br \/>\u30fbvagrant install \u3059\u308b<br \/>\u30fbvagrant up \u3059\u308b<br \/>\u30fbssh_config \u306b vm \u306e\u8a2d\u5b9a\u3092\u8ffd\u52a0\u3059\u308b<br \/>[\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u5b9f\u884c\u3059\u308b]<br \/>\u30fb\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u4f7f\u3046\u30c7\u30fc\u30bf\u3092\u96c6\u3081\u308b<br \/>\u30fbmnist \u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb<br \/>\u30fb\u81ea\u5206\u3067\u30c7\u30fc\u30bf\u3092\u4f5c\u308b<br \/>\u30fbtwitter \u30a2\u30a4\u30b3\u30f3\u3092\u4f7f\u3063\u3066 rbm \u3067\u5b66\u7fd2\u3059\u308b<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/laughing.hatenablog.com\/entry\/2013\/11\/30\/pylearn2_%E5%85%A5%E9%96%80%E3%81%97%E3%81%9F%E3%81%84%E7%B7%A8\" target=\"jumpsite\" rel=\"noopener\">\u2192laughing\u306e\u30d6\u30ed\u30b0\u3000\u2192pylearn2 \u5165\u9580\u3057\u305f\u3044\u7de8<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u72ec\u81eaCSV\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3057\u3066Pylearn2\u306b\u8aad\u307f\u8fbc\u3080\u65b9\u6cd5<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u3066\u3001\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u52d5\u304b\u3057\u305f\u5f8c\u306b\u3001\u72ec\u81eaCSV\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u4f5c\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Pylearn2\u306e\u30c7\u30fc\u30bf\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306f\u72ec\u7279\u3067\u3042\u308b\u305f\u3081\u3001CSV\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u306e\u8aad\u307f\u8fbc\u307f\u3092\u5b9f\u65bd\u3059\u308b\u5834\u5408\u306b\u53c2\u8003\u306b\u3067\u304d\u307e\u3059\u3002<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/tanopy.blog79.fc2.com\/blog-entry-118.html\" target=\"jumpsite\" rel=\"noopener\">\u2192\u305f\u306e\u3057\u3044Python\u3000\u4eca\u591c\u30b3\u30fc\u30c9\u3092\u66f8\u3044\u3066\u3044\u308b\u3059\u3079\u3066\u306e\u30d2\u30c8\u3078\u3000\u2192pylearn2\u3067denoising autoencoders\u3092\u4f7f\u3063\u305fDeep Learning<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0Pylearn2\u3067\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u3084\u308a\u65b9(\u30a8\u30e9\u30fc\u5bfe\u51e6\u6cd5\u306a\u3069)<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2\u3067\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u5b9f\u65bd\u3059\u308b\u5834\u5408\u306e\u300c\u30a8\u30e9\u30fc\u5bfe\u51e6\u300d\u3084\u300c\u6c17\u3092\u3064\u3051\u308b\u3079\u304d\u30dd\u30a4\u30f3\u30c8\u300d\u306a\u3069\u306b\u3064\u3044\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/blog.livedoor.jp\/tak_tak0\/archives\/52225933.html\" target=\"jumpsite\" rel=\"noopener\">\u2192\u2192\u7814\u7a76\u958b\u767a\u3000\u2192pylearn2\u3067Deep Learning\u306e\u3084\u308a\u65b9<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0Pylearn2+Theano\u3000\u5168\u4f53\u7684\u306b\u62bc\u3055\u3048\u3066\u304a\u304d\u305f\u3044\u30e1\u30e2<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2+Theano\u306b\u3064\u3044\u3066\u3001\u5404\u9805\u76ee\u306e\u89e3\u8aac\u3084\u3001\u6c17\u3092\u3064\u3051\u3066\u304a\u304f\u3079\u304d\u70b9\u306a\u3069\u306b\u3064\u3044\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fbPylearn2\u3068\u306f<br \/>\u30fb\u624b\u6cd5<br \/>\u30fbPyLearn2<br \/>\u30fbTheano<br \/>\u30fbMaxout<br \/>\u30fbDropout<br \/>\u30fb\u6b21\u306e\u30b9\u30c6\u30c3\u30d7<br \/>\u30fb\u307e\u3068\u3081<br \/>\u30fbvagrant\u306b\u3088\u308b\u74b0\u5883\u69cb\u7bc9\u306b\u3064\u3044\u3066<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/iiitttt.hateblo.jp\/entry\/2014\/07\/15\/101156\" target=\"jumpsite\" rel=\"noopener\">\u2192c memo\u3000\u2192pylearn2 \u30e1\u30e2<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0Pylearn2\u306e\u4f7f\u3044\u65b9\u3000\u57fa\u790e\u7de8\u304b\u3089\u5fdc\u7528\u7de8\u307e\u3067<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2\u306e\u300c\u4e3b\u8981\u306a\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u69cb\u6210\u300d\u300cYAML\u306e\u8aad\u307f\u65b9\u300d\u300c\u4e00\u822c\u7684\u306a\u4f7f\u3044\u65b9\u300d\u306a\u3069\u306b\u3064\u3044\u3066\u89e3\u8aac\u3055\u308c\u3066\u3044\u308b\u30b9\u30e9\u30a4\u30c9\u3067\u3059\u3002<\/p>\n<p>Pylearn2\u306e\u4f7f\u3044\u65b9\u306e\u307f\u3067\u306f\u306a\u304f\u3001\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306b\u3064\u3044\u3066\u306e\u57fa\u790e\u89e3\u8aac\u304b\u3089\u5fdc\u7528\u7684\u306a\u4f7f\u3044\u65b9\u307e\u3067\u3001\u8a73\u7d30\u306b\u89e3\u8aac\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fbDeep Learning\u57fa\u790e<br \/>\u30fb\u74b0\u5883\u69cb\u7bc9<br \/>\u30fbPylearn2\u3000\u57fa\u790e\u7de8<br \/>\u30fbPylearn2\u3000\u5fdc\u7528<br \/>\u30fb\u30e9\u30a4\u30d6\u30e9\u30ea\u6bd4\u8f03<br \/>\u30fbTouch7<br \/>\u30fb\u307e\u3068\u3081<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"https:\/\/www.slideshare.net\/ktrnkym\/ai-tool-introduction-20140710b\" target=\"jumpsite\" rel=\"noopener\">\u2192SlideShare\u3000\u2192JSAI&#039;s AI Tool Introduction &#8211; Deep Learning, Pylearn2 and Torch7<\/a><\/p>\n<h1 class=\"h1Custom\"><span class=\"ez-toc-section\" id=\"Pylearn2%E5%8F%82%E8%80%83%E6%83%85%E5%A0%B1%E2%91%A4Pylearn2%E3%81%AEPython%E5%AE%9F%E8%A3%85%E4%BA%8B%E4%BE%8B\"><\/span>Pylearn2\u53c2\u8003\u60c5\u5831\u2464Pylearn2\u306ePython\u5b9f\u88c5\u4e8b\u4f8b<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<h3 class=\"h2smalltitle\">Pylearn2\u53c2\u8003\u60c5\u5831\u2464Pylearn2\u306ePython\u5b9f\u88c5\u4e8b\u4f8b<\/h2>\n<p>\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u300cPylearn2\u300d\u3092\u4f7f\u7528\u3057\u3066\u3001\u4e88\u6e2c\u3084\u5206\u6790\u306a\u3069\u3092\u884c\u3063\u3066\u3044\u308b\u4e8b\u4f8b\u3092\u53c2\u7167\u3067\u304d\u308b\u30b5\u30a4\u30c8\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<h4 class=\"subtitle-h4\">\u25a0Pylearn2\u306e\u5b9f\u88c5\u306e\u6d41\u308c<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>\u300c\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u6982\u8981\u300d\u3068\u300cPylearn2\u306e\u5b9f\u88c5\u306e\u6d41\u308c\u300d\u306b\u3064\u3044\u3066\u5206\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\u3055\u308c\u3066\u3044\u308b\u30b9\u30e9\u30a4\u30c9\u3067\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>[\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u6982\u8981]<br \/>1\uff0e\u5404\u5c64\u306e\u5b66\u7fd2\u6cd5\u306b\u3064\u3044\u3066<br \/>2\uff0e\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u3064\u3044\u3066<br \/>3\uff0e\u5b9f\u88c5\uff1a\u73fe\u72b6\u306e\u95a2\u9023\u30b3\u30fc\u30c9\u6bd4\u8f03<br \/>[Pylearn2]<br \/>\u30fb\u5e02\u6c11\u6a29\u4e89\u3044\u3000Pylearn2 vs Touch7<br \/>\u30fbDL\u5b9f\u88c5\u306e\u6d41\u308c<br \/>\u30fbPylearn2\u3092\u4eca\u304b\u3089\u59cb\u3081\u308b\u306b\u306f<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"https:\/\/www.slideshare.net\/yurieoka37\/ss-28152060\" target=\"jumpsite\" rel=\"noopener\">\u2192SlideShare\u3000\u2192\u5b9f\u88c5\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u72ac\u3068\u732b\u3092\u533a\u5225\u3059\u308b\u305f\u3081\u306e\u30b3\u30f3\u30bb\u30d7\u30c8<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>\u300cPylearn2\u304b\u3089\u4e88\u6e2c\u3092\u5f97\u308b\u65b9\u6cd5\u300d\u3068\u3057\u3066\u3001\u72ac\u3068\u732b\u3092\u533a\u5225\u3059\u308b\u305f\u3081\u306e\u30b3\u30f3\u30bb\u30d7\u30c8\u306b\u3064\u3044\u3066\u89e3\u8aac\u3055\u308c\u3066\u3044\u307e\u3059(\u82f1\u8a9e\u7248)\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fbStep by step<br \/>\u30fbA practical example<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/fastml.com\/how-to-get-predictions-from-pylearn2\/\" target=\"jumpsite\" rel=\"noopener\">\u2192FastML\u3000\u2192How to get predictions from Pylearn2<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u5b66\u7fd2\u6e08\u30e2\u30c7\u30eb\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u691c\u8a3c\u3059\u308b\u65b9\u6cd5<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>Pylearn2\u3067\u5b66\u7fd2\u3057\u305f\u30e2\u30c7\u30eb\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u691c\u8a3c\u3092\u884c\u3046\u65b9\u6cd5\u306b\u3064\u3044\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fb\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3080<br \/>\u30fb\u30e2\u30c7\u30eb\u3092\u8aad\u307f\u8fbc\u3080<br \/>\u30fb\u4e88\u6e2c\u5024\u3092\u8a08\u7b97\u3059\u308b<br \/>\u30fb\u7d50\u679c\u3092\u96c6\u8a08\u3059\u308b<br \/>\u30fb\u4f7f\u7528\u4f8b<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/qiita.com\/dsanno\/items\/d4dac88ae5733e053467\" target=\"jumpsite\" rel=\"noopener\">\u2192Qiita\u3000\u2192Pylearn2\u3067\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u691c\u8a3c\u3092\u884c\u3046<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0binary\u6559\u5e2b\u306a\u3057\u4eba\u5de5\u30c7\u30fc\u30bf\u3092\u767a\u751f\u3055\u305b\u3066\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u5f8c\u7d50\u679c\u8868\u793a<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>\u300cbinary\u6559\u5e2b\u306a\u3057\u4eba\u5de5\u30c7\u30fc\u30bf\u306e\u767a\u751f\u300d\u2192\u300cDBM\u306etraining\u300d\u2192\u300c\u4f5c\u6210\u3057\u305fDBM\u306e\u7d50\u679c\u8868\u793a\u300d\u307e\u3067\u306e\u4e00\u9023\u306e\u624b\u9806\u306b\u3064\u3044\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fbPylearn2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<br \/>\u30fb\u53c2\u8003\u8cc7\u6599<br \/>\u30fb\u3084\u3063\u305f\u3053\u3068<br \/>\u30fb\u4eba\u53e3\u30c7\u30fc\u30bf\u306e\u767a\u751f<br \/>\u30fbPylearn2\u8a2d\u5b9a\u7528yaml\u30d5\u30a1\u30a4\u30eb<br \/>\u30fbtraining<br \/>\u30fb\u5b66\u7fd2\u7d50\u679c\u306e\u8868\u793a<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/qiita.com\/shima_x\/items\/e3579861329fa8d1cd8e\" target=\"jumpsite\" rel=\"noopener\">\u2192Qiita\u3000\u2192\u4eba\u5de5\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066Pylearn2\u3067DBM\u3092\u8a66\u3057\u3066\u307f\u305f<\/a><\/p>\n<h4 class=\"subtitle-h4\">\u25a0\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u4f5c\u6210\u304b\u3089\u5b66\u7fd2\/\u5206\u6790\u307e\u3067<\/h3>\n<h5>\u6982\u8981<\/h5>\n<p>\u300c\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u3092CSV\u30d5\u30a1\u30a4\u30eb\u306b\u5909\u63db\u300d\u2192\u300cCVS\u3092pkl\u306b\u5909\u63db\u300d\u2192\u300c\u5b66\u7fd2\u300d\u2192\u300c\u8b58\u5225\u30c6\u30b9\u30c8\u300d\u306e\u4e00\u9023\u306e\u6d41\u308c\u306b\u3064\u3044\u3066\u307e\u3068\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<h5>\u89e3\u8aac\u30c6\u30fc\u30de<\/h5>\n<p>\u30fb\u624b\u9806<br \/>\u30fb\u4e0b\u6e96\u5099<br \/>\u30fb\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u3092CSV\u30d5\u30a1\u30a4\u30eb\u306b\u5909\u63db<br \/>\u30fbCSV\u3092pkl\u306b\u5909\u63db<br \/>\u30fb\u5b66\u7fd2\u3055\u305b\u308b<br \/>\u30fb\u8b58\u5225\u30c6\u30b9\u30c8<\/p>\n<h5>\u30da\u30fc\u30b8\u30ea\u30f3\u30af<\/h5>\n<p><a href=\"http:\/\/qiita.com\/moshisora\/items\/4f8892158eb21c4c6ade\" target=\"jumpsite\" rel=\"noopener\">\u2192Qiita\u3000\u2192DeepLearning\u306b\u81ea\u4f5c\u753b\u50cf\u30c7\u30fc\u30bf\u3092\u5165\u308c\u3066\u904a\u3093\u3067\u307f\u308b<\/a><\/p>\n<p>\u3000<\/p>\n<p>\u53c2\u8003\u5143\u30b5\u30a4\u30c8<\/p>\n<ul>\n<li><a href=\"http:\/\/deeplearning.net\/software\/pylearn2\/#\" target=\"jumpsite\" rel=\"noopener\">Pylearn2 dev documentation\u3000\u2192Welcome<\/a><\/li>\n<li><a href=\"https:\/\/codezine.jp\/article\/detail\/8315?p=2\" target=\"jumpsite\" rel=\"noopener\">CodeZine\u3000\u2192Python\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30c4\u30fc\u30c8\u30c3\u30d7\u300cPylearn2\u300d\u300cCaffe\u300d\u3068\u306f\uff5ePyData Tokyo Meetup #1\u30a4\u30d9\u30f3\u30c8\u30ec\u30dd\u30fc\u30c8\u3000\u2192\u30bb\u30c3\u30b7\u30e7\u30f3\u300cPyLearn2\u89e3\u8aac\u300d<\/a><\/li>\n<li><a href=\"http:\/\/www.sejuku.net\/blog\/11551\" target=\"jumpsite\" rel=\"noopener\">\u4f8d\u30a8\u30f3\u30b8\u30cb\u30a2\u587e\u3000\u2192Python\u3067\u3088\u304f\u4f7f\u308f\u308c\u3066\u3044\u308b\u304a\u3059\u3059\u3081\u306e\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u53b3\u90788\u9078<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/lisa-lab\/pylearn2\" target=\"jumpsite\" rel=\"noopener\">GitHub\u3000\u2192lisa-lab\/pylearn2<\/a><\/li>\n<\/ul>\n<p class=\"text80\">\u203b\u5b9a\u671f\u7684\u306b\u30e1\u30f3\u30c6\u30ca\u30f3\u30b9\u3092\u5b9f\u65bd\u3057\u3066\u304a\u308a\u307e\u3059\u304c\u3001\u4e00\u90e8\u60c5\u5831\u304c\u53e4\u3044\u5834\u5408\u304c\u3054\u3056\u3044\u307e\u3059\u3002\u3054\u4e86\u627f\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pylearn2(\u30d1\u30a4\u30e9\u30fc\u30f3\u30c4\u30fc)\u3068\u306f\u3001\u6570\u5024\u8a08\u7b97\u30e9\u30a4\u30d6\u30e9\u30ea\u300cTheano\u300d\u30d9\u30fc\u30b9\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n","protected":false},"author":4,"featured_media":3972,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[243],"tags":[602],"class_list":["post-4937","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-oss","tag-pylearn2"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/posts\/4937","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/comments?post=4937"}],"version-history":[{"count":0,"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/posts\/4937\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/media\/3972"}],"wp:attachment":[{"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/media?parent=4937"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/categories?post=4937"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/majisemi.com\/topics\/wp-json\/wp\/v2\/tags?post=4937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}