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GitHub topics: customizable-ai

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: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

Aygunio/CustomizableAIFramework

A flexible and user-friendly neural network framework built with TensorFlow, designed for easy customization and adaptability to various AI and machine learning tasks.

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Related Keywords
artificial-intelligence 2 customizable-ai 2 deep-learning 2 machine-learning 2 neural-networks 2 tensorflow 1 python 1 neural-network-training 1 natural-language-processing 1 mnist-dataset 1 computer-vision 1 ai-framework 1 versatile-ai-solutions 1 real-time-optimization 1 performance-optimization 1 on-the-fly-refinement 1 network-parameter-tuning 1 machine-learning-framework 1 intelligent-systems 1 dynamic-learning-models 1 data-driven-ai 1 ai-scalability 1 ai-research-and-development 1 advanced-neural-architectures 1 adaptive-systems 1