Parameter Sharing

Noun · AI & Machine Learning

Definitions

  1. A design approach where the same parameters are reused across different parts of a model or across multiple computations. Parameter sharing can reduce model size and sometimes improve generalization.

    In plain English: Reusing the same parameters in multiple parts of a model.

    Example: "The architecture relied on parameter sharing to keep memory usage manageable on the target hardware."

Related Terms