VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to make predictions or classifications. DNNs have transformed many fields with their remarkable prediction accuracy. Training DNNs typically relies on backpropagation (BP).

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