{"height":"190","published":"2016-11-06 00:10:53","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpaper.hatenadiary.jp%2Fentry%2F2016%2F11%2F06%2F001053\" title=\"Deep\u7cfb\u306e\u8ad6\u6587\u3081\u3082\u5f8c\u534a\u305d\u306e2 (2016\u5e74\u590f\u9803\u307e\u3067\u306e\u3082\u306e\u5bfe\u8c61) - \u3081\u3082\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"Deep\u7cfb\u306e\u8ad6\u6587\u3081\u3082\u5f8c\u534a\u305d\u306e2 (2016\u5e74\u590f\u9803\u307e\u3067\u306e\u3082\u306e\u5bfe\u8c61)","provider_url":"https://hatena.blog","description":"\u6559\u5e2b\u306a\u3057 CNN features off-the-shelf: an astounding baseline for recognition \u753b\u50cf Learning and transferring mid-level image representions using convolutional neural networks Learning hierarchical features for scene labeling Semantic Segmentation Learning Deconvolution Network for Semantic Segmentation Full\u2026","image_url":"http://image.slidesharecdn.com/miru2014tutorialdeeplearningslideshare-140721201916-phpapp02/95/miru2014-tutorial-deeplearning-96-638.jpg?cb=1414474875","blog_title":"\u3081\u3082","author_name":"misos","width":"100%","version":"1.0","categories":["\u8ad6\u6587\u30fb\u8cc7\u6599\u30fb\u30b9\u30e9\u30a4\u30c9\u96c6","\u6df1\u5c64\u5b66\u7fd2","\u6a5f\u68b0\u5b66\u7fd2","\u30e1\u30e2","\u66f8\u304d\u304b\u3051","\u753b\u50cf\u51e6\u7406"],"type":"rich","url":"https://paper.hatenadiary.jp/entry/2016/11/06/001053","author_url":"https://blog.hatena.ne.jp/misos/","blog_url":"https://paper.hatenadiary.jp/","provider_name":"Hatena Blog"}