{"categories":["PyTorch"],"provider_name":"Hatena Blog","title":"PyTorch \u306e\u81ea\u52d5\u5fae\u5206 (torch.autograd)","type":"rich","author_name":"atsuhiro-me","blog_url":"https://pc.atsuhiro-me.net/","version":"1.0","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/a/atsuhiro-me/20230925/20230925184450.png","width":"100%","published":"2023-09-26 16:53:58","provider_url":"https://hatena.blog","blog_title":"\u307f\u30fc\u306e\u307a\u30fc\u3058","url":"https://pc.atsuhiro-me.net/entry/2023/09/26/165358","author_url":"https://blog.hatena.ne.jp/atsuhiro-me/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpc.atsuhiro-me.net%2Fentry%2F2023%2F09%2F26%2F165358\" title=\"PyTorch \u306e\u81ea\u52d5\u5fae\u5206 (torch.autograd) - \u307f\u30fc\u306e\u307a\u30fc\u3058\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"torch.autograd provides classes and functions implementing automatic differentiation of arbitrary scalar valued functions. *1 PyTorch \u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u8aad\u3093\u3067\u3082\u3088\u304f\u5206\u304b\u3089\u306a\u304b\u3063\u305f\u306e\u3067\uff0c\u3053\u3061\u3089\u306e\u30b5\u30f3\u30d7\u30eb\u3092\u53c2\u8003\u306b\u3057\u307e\u3057\u305f\uff0e \u4efb\u610f\u306e\u95a2\u6570\u306e\u52fe\u914d\u3092\u81ea\u52d5\u7684\u306b\u8a08\u7b97\u3057\u3066\u304f\u308c\u308b\u3089\u3057\u3044\u306e\u3067\u3059\u304c\uff0c\u6700\u521d\u306f\u624b\u52d5\u3067\u3084\u3089\u306a\u3044\u3068\u4f55\u3092\u3057\u3066\u304f\u308c\u3066\u3044\u308b\u306e\u304b\u5206\u304b\u3089\u306a\u3044\u306e\u3067\uff0ctorch.autograd \u3092\u4f7f\u308f\u305a\u306b\uff0c\u6700\u5c0f\u4e8c\u4e57\u6cd5\u306e\u3088\u3046\u306a\u3082\u306e\u3092\u6a5f\u68b0\u5b66\u7fd2\u3067\u5b9f\u88c5\u3057\u3066\u307f\u307e\u3059\uff0e \u30c7\u30fc\u30bf\u306e\u6e96\u5099 \u50be\u304da\uff0cy\u5207\u7247b\u306e\u76f4\u7dda\u306b\u2026","height":"190"}