{"title":"\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u81ea\u52d5\u5316\uff1aautokeras\u306e\u89e3\u8aac","description":"Python autokeras \u30e9\u30a4\u30d6\u30e9\u30ea\u5b8c\u5168\u30ac\u30a4\u30c9 Python \u306e autokeras \u306f\u3001\u30e2\u30c7\u30eb\u30c8\u69cb\u7bc9\u306e\u81ea\u52d5\u5316 (AutoML)\u3092\u76ee\u6307\u3057\u305f\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3001\u30b3\u30fc\u30c9\u4f53\u9a13\u3092\u6700\u5c0f\u9650\u306b\u62bc\u3055\u3048\u3066\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002 1. autokeras \u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u6982\u8981 TensorFlow/Keras \u306e\u4e0a\u306b\u69cb\u7bc9\u3055\u308c\u305f\u81ea\u52d5ML\u30e9\u30a4\u30d6\u30e9\u30ea \u30af\u30e9\u30b9\u5206\u985e\u3001\u56f3\u50cf\u8a8d\u8b58\u3001\u6642\u7cfb\u5217\u4e88\u6e2c \u306a\u3069\u306b\u5bfe\u5fdc \u6700\u9069\u306a\u30e2\u30c7\u30eb\u3092\u81ea\u52d5\u63a2\u7d22 \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5 \u30b3\u30d4\u30fc pip install autokeras 2. \u4e3b\u306a\u6a5f\u80fd\u3068\u4f7f\u7528\u4f8b (1) \u56f3\u50cf\u5206\u985e\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9 \u30b3\u30d4\u30fc import autokeras as ak clf = ak.\u2026","blog_title":"okpy","provider_url":"https://hatena.blog","height":"190","provider_name":"Hatena Blog","blog_url":"https://okpy.net/","categories":["python"],"type":"rich","author_url":"https://blog.hatena.ne.jp/starful/","url":"https://okpy.net/entry/2025/08/12/130024","published":"2025-08-12 13:00:24","author_name":"starful","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fokpy.net%2Fentry%2F2025%2F08%2F12%2F130024\" title=\"\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u81ea\u52d5\u5316\uff1aautokeras\u306e\u89e3\u8aac - okpy\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/s/starful/20250803/20250803143346.png","width":"100%","version":"1.0"}