📕 subnode [[@KGBicheno/sparsity]]
in 📚 node [[sparsity]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Sparsity.md by @KGBicheno
sparsity
Go back to the [[AI Glossary]]
The number of elements set to zero (or null) in a vector or matrix divided by the total number of entries in that vector or matrix. For example, consider a 10x10 matrix in which 98 cells contain zero. The calculation of sparsity is as follows:
Feature sparsity refers to the sparsity of a feature vector; model sparsity refers to the sparsity of the model weights.
📖 stoas
- public document at doc.anagora.org/sparsity
- video call at meet.jit.si/sparsity