GitHub topics: real-time-optimization
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: 21 days ago - Pushed at: 21 days ago - Stars: 1 - Forks: 0
Related Keywords
adaptive-systems
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advanced-neural-architectures
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ai-research-and-development
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ai-scalability
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artificial-intelligence
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data-driven-ai
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deep-learning
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dynamic-learning-models
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intelligent-systems
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machine-learning
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machine-learning-framework
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network-parameter-tuning
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neural-networks
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