{"blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2021%2F05%2F04%2F010010\" title=\"PyTorch \u7528\u5404\u7a2e\u30e2\u30c7\u30eb - \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>","published":"2021-05-04 01:00:10","author_url":"https://blog.hatena.ne.jp/derwind/","image_url":null,"width":"100%","type":"rich","provider_name":"Hatena Blog","version":"1.0","provider_url":"https://hatena.blog","height":"190","url":"https://randommemory.hatenablog.com/entry/2021/05/04/010010","author_name":"derwind","description":"GANs GitHub - eriklindernoren/PyTorch-GAN: PyTorch implementations of Generative Adversarial Networks. Image Models GitHub - rwightman/pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNe\u2026","blog_url":"https://randommemory.hatenablog.com/","title":"PyTorch \u7528\u5404\u7a2e\u30e2\u30c7\u30eb","categories":["machine_learning"]}