{"published":"2021-02-24 11:51:05","provider_url":"https://hatena.blog","author_name":"Ridge-i_Jinguuji","title":"\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306ePruning\u306e\u6700\u65b0\u52d5\u5411\u306b\u3064\u3044\u3066","categories":["model compression","neural network pruning"],"provider_name":"Hatena Blog","height":"190","blog_title":"Ridge-institute R&D Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fiblog.ridge-i.com%2Fentry%2F2021%2F02%2F24%2F115105\" title=\"\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306ePruning\u306e\u6700\u65b0\u52d5\u5411\u306b\u3064\u3044\u3066 - Ridge-institute R&amp;D Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_url":"https://iblog.ridge-i.com/","type":"rich","version":"1.0","url":"https://iblog.ridge-i.com/entry/2021/02/24/115105","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/R/Ridge-i_Jinguuji/20210222/20210222151132.png","description":"\u3053\u3093\u306b\u3061\u306f\uff0e\u682a\u5f0f\u4f1a\u793eRidge-i\u306e@zawatsky_r\u3068@machinery81\u3067\u3059\uff0e \u672c\u8a18\u4e8b\u3067\u306fPruning\u3068\u547c\u3070\u308c\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u8efd\u91cf\u5316\u624b\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\uff0e TL;DR Pruning\u3068\u306f\uff1f Pruning\u624b\u6cd5\u306e\u6982\u8981 \u624b\u6cd5\u306e\u9055\u3044\u306e\u30dd\u30a4\u30f3\u30c8 Structure Scoring Scheduling Fine-Tuning Pruning\u306b\u95a2\u3059\u308b\u8ad6\u6587\u306e\u7d39\u4ecb Unstructured Pruning Structured Pruning \u81ea\u52d5\u30e2\u30c7\u30eb\u5727\u7e2e Amc: AutoML for Model Compression\u3068\u305d\u306e\u4e9c\u7a2e AutoPruner The Lottery Tic\u2026","author_url":"https://blog.hatena.ne.jp/Ridge-i_Jinguuji/","width":"100%"}