Technical GlossaryDeep Learning
Parameter Sharing
An efficient learning principle in which the same weights are reused across multiple positions or structures.
Parameter sharing is a very powerful principle in deep learning for both computational efficiency and generalization. In CNNs, for example, using the same filter across different spatial positions allows the model to learn local patterns with far fewer parameters. This not only reduces model size, but also aligns the learned structure with recurring regularities in the data.
You Might Also Like
Explore these concepts to continue your artificial intelligence journey.
