{"url":"https://liveexcite.hatenadiary.org/entry/20180227/1519723627","title":"tensorboard \u3092\u4f7f\u3046\u3002","height":"190","published":"2018-02-27 18:27:07","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/l/liveExcite/20180227/20180227183118.jpg","provider_url":"https://hatena.blog","author_name":"liveExcite","author_url":"https://blog.hatena.ne.jp/liveExcite/","version":"1.0","provider_name":"Hatena Blog","categories":[],"blog_url":"https://liveexcite.hatenadiary.org/","description":"\u3053\u3053\u3092\u53c2\u8003\u306b\u3059\u308b https://qiita.com/uosansatox/items/b552c9c4d8f1cebbf044 https://deepage.net/tensorflow/2017/04/25/tensorboard.html # TensorBoard\u3067\u8ffd\u8de1\u3059\u308b\u5909\u6570\u3092\u5b9a\u7fa9 with tf.name_scope('summary'): tf.summary.scalar('loss', loss) merged = tf.summary.merge_all() writer = tf.summary.FileWriter('./logs', sess.graph) \u3068\u304b\u3042\u308b\u2026","blog_title":"\u6280\u8853\u529b\u30a2\u30d4\u30fc\u30eb\u3057\u3088\u3046\u305a","width":"100%","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fliveexcite.hatenadiary.org%2Fentry%2F20180227%2F1519723627\" title=\"tensorboard \u3092\u4f7f\u3046\u3002 - \u6280\u8853\u529b\u30a2\u30d4\u30fc\u30eb\u3057\u3088\u3046\u305a\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>"}