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cccskills

「transfer-learning」の検索結果

3 件 ・ 関連度順

概要と使いどころ

Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. it is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

日本語の概要は準備中です。原文の説明を表示しています。

jeremylongshore/tons-of-skills-marketplace2,8322026年10月12日 更新

Deep analysis of knowledge distillation techniques for compressing large models into smaller efficient ones

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/windags-skills132026年10月12日 更新

Choose what kind of knowledge to transfer between teacher and student models: response, feature, or relational, and decide among offline, online, self, or cross-modal distillation schemes. Best for distillation strategy selection, capacity-gap diagnosis, and transfer planning. Activate on "knowledge distillation", "teacher-student", "soft labels", "feature distillation", "online distillation", or "cross-modal transfer". NOT for generic compression checklists or unrelated training work.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/windags-skills132026年10月12日 更新