Technology: Tensorflow

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Sparse Matrices: What makes them important for Machine Learning

Reading Time: 4 minutes Dense Matrix and Sparsity of the Matrix There are two common matrix types: dense and sparse. The main difference is that sparse metrics have many null values ​​and dense metrics have none. Below is an example of a 4-by-4 sparse matrix. Reasons to use Sparse Matrix representation Storage Since there are fewer non-zero elements than zero, less memory is available to store only those elements. Continue Reading