๐ Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Sparsity.md by @KGBicheno โ
sparsity
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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.
