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Last Updated：2025/12/05

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Advanced neural network architectures often rely on concepts from matrix algebra to optimize computations and represent linear transformations.

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Advanced neural network architectures often rely on concepts from matrix algebra to optimize computations and represent linear transformations.

高度なニューラルネットワークのアーキテクチャは、計算を最適化し線形変換を表現するために、しばしば行列代数の概念に依存します。