{"height":"190","author_name":"derwind","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","url":"https://randommemory.hatenablog.com/entry/2020/05/22/040421","width":"100%","blog_url":"https://randommemory.hatenablog.com/","type":"rich","provider_name":"Hatena Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2020%2F05%2F22%2F040421\" title=\"*2Vec - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["machine_learning"],"version":"1.0","image_url":null,"author_url":"https://blog.hatena.ne.jp/derwind/","description":"GitHub - rezoo/illustration2vec: A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations. Word \u4ee5\u5916\u306b\u3082\u8272\u3005\u3042\u308b\u3082\u3093\u3060\u306a\u30fb\u30fb\u30fb\u3002","provider_url":"https://hatena.blog","title":"*2Vec","published":"2020-05-22 04:04:21"}