{"version":"1.0","blog_url":"https://randommemory.hatenablog.com/","published":"2021-05-20 00:23:38","width":"100%","provider_url":"https://hatena.blog","title":"EfficientNetV2","type":"rich","provider_name":"Hatena Blog","image_url":null,"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2021%2F05%2F20%2F002338\" title=\"EfficientNetV2 - \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>","author_url":"https://blog.hatena.ne.jp/derwind/","description":"2019 \u5e74\u306b\u671f\u5f85\u3055\u308c\u305f\u753b\u50cf\u5206\u985e\u30e2\u30c7\u30eb\u306e EfficientNet \u306e V2 \u304c\u51fa\u305f\u3002 \u8ad6\u6587: EfficientNetV2: Smaller Models and Faster Training \u5b9f\u88c5 (timm): https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/efficientnet.py \u8272\u3005\u3068\u5bfe\u5fdc\u65e9\u3044\u306a\u30fc","author_name":"derwind","url":"https://randommemory.hatenablog.com/entry/2021/05/20/002338","height":"190","blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","categories":["machine_learning"]}