{"author_name":"enakai00","width":"100%","url":"https://enakai00.hatenablog.com/entry/2016/12/26/230903","published":"2016-12-26 23:09:03","image_url":null,"title":"Using Cloud ML with distributed TensorFlow code","provider_url":"https://hatena.blog","version":"1.0","author_url":"https://blog.hatena.ne.jp/enakai00/","blog_title":"\u3081\u3082\u3081\u3082","height":"190","provider_name":"Hatena Blog","categories":[],"type":"rich","description":"What is this? enakai00.hatenablog.com As I mentioned in the article above, you need to make some modifications on your TensorFlow codes when you train the model with the distributed mode. I will explain some key aspects you need know to write TensorFlow codes for the distributed training.There are s\u2026","blog_url":"https://enakai00.hatenablog.com/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fenakai00.hatenablog.com%2Fentry%2F2016%2F12%2F26%2F230903\" title=\"Using Cloud ML with distributed TensorFlow code - \u3081\u3082\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>"}