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Dynamic-Neural-Network-Refinement

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Dynamic Neural Network Refinement (DNNR) is an advanced framework that allows neural networks to adapt in real time. Unlike static systems, DNNR refines network parameters on-the-fly to optimize performance. Its modularity ensures easy customization for versatile applications.

Creat2024-11-24T12:36:06
Update2025-03-06T07:32:53
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