Topic: "dynamic-learning-models"
redx94/Dynamic-Neural-Network-Refinement
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.
Language: Python - Size: 27.8 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0
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