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Updated: Jul 1, 2025

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ニューラルネットワークにおける特徴学習のメカニズムと反伝播のない機械学習モデル

Adityanarayanan Radhakrishnan1,2, Daniel Beaglehole3, Parthe Pandit4,5

  • 1Harvard School of Engineering and Applied Sciences, Cambridge, MA 02138, USA.

Science (New York, N.Y.)
|March 7, 2024
PubMed
まとめ

新しい数学的メカニズムを発見しました 平均グラデーション外積 (AGOP) というもので ニューラルネットワークが 特徴を習得する方法を説明します この反伝播のない方法は,他の機械学習モデルでも機能学習を可能にします.

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