A Deterministic Collatz Sequence Initialization for Faster Convergence and Stable Neural Network Training

Deep neural networks have achieved state-of-the-art performance in tasks ranging from image classification to regression. However, their training dynamics remain highly sensitive to weight initialization. This is a fundamental factor that influences both convergence speed and model performance. Trad...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Zehara Eshetu Seid, Beakal Gizachew Assefa, Adane Letta Mamuye, Eyob Solomon Getachew
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Weight initialization Collatz conjecture neural networks convergence stability deep learning
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11248903/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!