{"width":"100%","author_url":"https://blog.hatena.ne.jp/sinhrks/","categories":["Chainer","\u53ef\u8996\u5316","Deep Learning","Python"],"published":"2015-07-09 23:10:44","provider_name":"Hatena Blog","url":"https://sinhrks.hatenablog.com/entry/2015/07/09/231044","blog_url":"https://sinhrks.hatenablog.com/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fsinhrks.hatenablog.com%2Fentry%2F2015%2F07%2F09%2F231044\" title=\"Chainer \u3067 Deep Learning: Bokeh \u3067 Live Monitoring \u3057\u305f\u3044 - StatsFragments\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","provider_url":"https://hatena.blog","description":"\u6982\u8981 Deep Learning \u306e\u5b66\u7fd2\u306b\u306f\u6642\u9593\u304c\u304b\u304b\u308b\u305f\u3081\u3001\u9032\u6357\u304c\u90fd\u5ea6 \u78ba\u8a8d\u3067\u304d\u308b\u3068\u3046\u308c\u3057\u3044\u3002\u305d\u306e\u969b\u3001\u30c6\u30ad\u30b9\u30c8\u306e\u30ed\u30b0\u51fa\u529b\u3067\u306f\u5473\u6c17\u306a\u3044\u306e\u3067\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u30d7\u30ed\u30c3\u30c8\u3092\u773a\u3081\u305f\u3044\u3002 \u3044\u304f\u3064\u304b\u306e Deep Learning \u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u306f\u305d\u3046\u3044\u3063\u305f\u6a5f\u80fd (Live Monitoring) \u304c\u63d0\u4f9b\u3055\u308c\u3066\u3044\u308b\u3002 Undefined Intelligence: Monitoring Experiments in Pylearn2 Live plotting \u2014 Blocks 0.0.1 documentation fchollet/hualos \u00b7 GitHub \u540c\u3058\u3053\u3068\u3092 Chainer \u3067\u3084\u308a\u305f\u3044\u3002\u81ea\u5206\u2026","image_url":"http://cdn-ak.f.st-hatena.com/images/fotolife/s/sinhrks/20150709/20150709230044.png","author_name":"sinhrks","blog_title":"StatsFragments","height":"190","title":"Chainer \u3067 Deep Learning: Bokeh \u3067 Live Monitoring \u3057\u305f\u3044","type":"rich"}