{"id":640,"date":"2021-09-10T10:20:52","date_gmt":"2021-09-10T01:20:52","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=640"},"modified":"2021-09-10T10:20:52","modified_gmt":"2021-09-10T01:20:52","slug":"eprnnevolutionary-plastic-recurrent-neural-networks-%e9%80%b2%e5%8c%96%e7%9a%84%e5%8f%af%e5%a1%91%e7%9a%84%e5%9b%9e%e5%b8%b0%e5%9e%8b%e3%83%8b%e3%83%a5%e3%83%bc%e3%83%a9%e3%83%ab%e3%83%8d%e3%83%83","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=640","title":{"rendered":"EPRNN(Evolutionary Plastic Recurrent Neural Networks): \u9032\u5316\u7684\u53ef\u5851\u7684\u56de\u5e30\u578b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li><strong>Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization\u00a0<\/strong>[38.8]<br>\u9032\u5316\u7684\u30d7\u30e9\u30b9\u30c1\u30c3\u30af\u30ea\u30ab\u30ec\u30f3\u30c8\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af(EPRNN)\u3068\u3044\u3046\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u63d0\u6848\u3059\u308b\u3002 EPRNN\u306f\u3001\u9032\u5316\u6226\u7565\u3001\u5851\u6027\u898f\u5247\u3001\u518d\u5e30\u306b\u57fa\u3065\u304f\u5b66\u7fd2\u30921\u3064\u306e\u30e1\u30bf\u5b66\u7fd2\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u69cb\u6210\u3057\u3001\u7570\u306a\u308b\u30bf\u30b9\u30af\u306b\u4e00\u822c\u5316\u3059\u308b\u3002 EPRNN\u306e\u5185\u30eb\u30fc\u30d7\u3067\u306f,\u518d\u5e30\u5b66\u7fd2\u6a5f\u69cb\u3092\u7528\u3044\u3066\u5851\u6027\u3092\u935b\u9020\u3059\u308b\u3053\u3068\u306b\u3088\u308a,\u9577\u671f\u8a18\u61b6\u3068\u77ed\u671f\u8a18\u61b6\u306e\u4e21\u65b9\u3092\u52b9\u679c\u7684\u306b\u5b9f\u73fe\u3057\u3066\u3044\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2109.03554v1\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2109.03554v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper\/translated\/2109.03554.pdf.html\">\u53c2\u8003\u8a33\uff08\u5168\u6587\uff09<\/a>\u00a0\u00a0(Wed, 8 Sep 2021 11:34:14 GMT)<ul><li>\u751f\u7269\u5b66\u7684\u306a\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u5b58\u5728\u3059\u308b\u5851\u6027\u898f\u5247\u3092RNN\u306b\u81ea\u7136\u306a\u5f62\u3067\u5165\u308c\u8fbc\u3080\u3068\u3044\u3046\u7814\u7a76\u3002\uff08\u6700\u5f8c\u306e\u7d50\u679c\u304b\u3089\u306e\u307f\u5b66\u7fd2\u3059\u308b\u306e\u3067\u306f\u306a\u304f\uff09\u89b3\u6e2c\u5217\u3092\u3082\u3068\u306b\u5b66\u7fd2\u3057\u305f\u3044\u3068\u3044\u3046\u30e2\u30c1\u30d9\u30fc\u30b7\u30e7\u30f3\u3067RNN\u3092\u9078\u3093\u3060\u3068\u306e\u3053\u3068\u3002RNN\u306b\u304a\u3051\u308b\u9577\u671f\u8a18\u61b6\u306e\u6b20\u5982\u3092PRNN\u304c\u6539\u5584\u3059\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3002<ul><li>\u89b3\u6e2c\u4e2d\u306bW\u3068h\u3092\u9806\u6b21\u5909\u66f4\u3059\u308b\u30bb\u30c3\u30c6\u30a3\u30f3\u30b0\u3092\u8ffd\u52a0\u3057\u305fRNN\u3092PRNN\u3068\u547c\u3093\u3067\u3044\u308b\u3063\u307d\u3044\u3002\u78ba\u304b\u306b\u3053\u3063\u3061\u306e\u65b9\u304c\u81ea\u7136\u306b\u601d\u3048\u308b\u3002\u4e00\u65b9\u3067RNN\u4ee5\u5f8c\u767b\u5834\u3057\u305f\u8907\u96d1\u306a\u30e2\u30c7\u30eb\u69cb\u7bc9\u306e\u6226\u7565\u3068\u3057\u3066\u6709\u52b9\u304b\u306f\u7814\u7a76\u306e\u767a\u5c55\u3092\u5f85\u3061\u305f\u3044\u3068\u3053\u308d\u3002EPRNN\u306fPRNN\u306b\u9032\u5316\u6226\u7565\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u53d6\u308a\u5165\u308c\u3001\u7570\u306a\u308bWorker\u9593\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5171\u6709\u3057\u306a\u304c\u3089\u66f4\u65b0\u3057\u3066\u3044\u304f\uff08\u6700\u9069\u306a\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u6c42\u3081\u306b\u884c\u304f\uff09\u3082\u306e\u306e\u3088\u3046\u3002<\/li><\/ul><\/li><\/ul><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization\u00a0[38.8]\u9032\u5316\u7684\u30d7\u30e9\u30b9\u30c1\u30c3\u30af\u30ea\u30ab &hellip; <a href=\"https:\/\/devneko.jp\/wordpress\/?p=640\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;EPRNN(Evolutionary Plastic Recurrent Neural Networks): \u9032\u5316\u7684\u53ef\u5851\u7684\u56de\u5e30\u578b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[106,132,303],"class_list":["post-640","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-deep-learning","tag-evolution-strategy","tag-plasticity-rule"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/640","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=640"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/640\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}