{"title":"\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30eaPyTorch\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9","width":"100%","author_url":"https://blog.hatena.ne.jp/starful/","published":"2025-04-08 06:20:47","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fokpy.net%2Fentry%2F2025%2F04%2F08%2F062047\" title=\"\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30eaPyTorch\u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9 - okpy\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_name":"starful","version":"1.0","blog_url":"https://okpy.net/","height":"190","provider_url":"https://hatena.blog","image_url":null,"provider_name":"Hatena Blog","url":"https://okpy.net/entry/2025/04/08/062047","categories":["python"],"type":"rich","blog_title":"okpy","description":"Python PyTorch \u30e9\u30a4\u30d6\u30e9\u30ea\u5b8c\u5168\u30ac\u30a4\u30c9 PyTorch \u306f Facebook \u306b\u3088\u3063\u3066\u958b\u767a\u3055\u308c\u305f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3001\u67d4\u8edf\u6027\u3068\u4f7f\u3044\u3084\u3059\u3055\u3092\u517c\u306d\u5099\u3048\u3066\u3044\u307e\u3059\u3002\u7814\u7a76\u7528\u9014\u304b\u3089\u672c\u756a\u74b0\u5883\u307e\u3067\u5e45\u5e83\u304f\u6d3b\u7528\u3055\u308c\u3066\u304a\u308a\u3001\u52d5\u7684\u8a08\u7b97\u30b0\u30e9\u30d5\u306b\u3088\u308a\u76f4\u611f\u7684\u306a\u958b\u767a\u304c\u53ef\u80fd\u3067\u3059\u3002\u672c\u8a18\u4e8b\u3067\u306f\u3001Python \u3092\u7528\u3044\u305f PyTorch \u306e\u57fa\u672c\u7684\u306a\u4f7f\u3044\u65b9\u3092\u30b3\u30d4\u30fc\u53ef\u80fd\u306a\u30b3\u30fc\u30c9\u4ed8\u304d\u3067\u7d39\u4ecb\u3057\u307e\u3059\u3002 1. PyTorch \u306e\u6982\u8981 \u52d5\u7684\u8a08\u7b97\u30b0\u30e9\u30d5\u306b\u3088\u308b\u67d4\u8edf\u306a\u30e2\u30c7\u30ea\u30f3\u30b0\u3002 GPU\uff08CUDA\uff09\u306b\u3088\u308b\u9ad8\u901f\u51e6\u7406\u5bfe\u5fdc\u3002 torch.nn, torch.optim, torch.utils.data \u306a\u3069\u8c4a\u5bcc\u306a\u30b5\u30d6\u30e2\u30b8\u2026"}