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Jun 2, 2022 · Artificial Intelligence

How Knowledge Distillation Shrinks Deep Neural Networks Without Losing Accuracy

Knowledge Distillation, a teacher‑student model compression technique, enables large, high‑performing deep neural networks to transfer their learned representations to smaller models, achieving comparable accuracy with faster inference, reduced resource consumption, and broader applicability in computer‑vision tasks.