DATA COMPRESSION FOR A NEURAL NETWORK

Abstract: systems and methods for generating a representative value of a data set by first compressing a portion of values in the data set to determine a first common value and further compressing a subset of the portion of values to determine a second common value. the representative value is generated by taking the difference between the first common value and the second common value, wherein the representative value corresponds to a mathematical relationship between the first and second common values and each value within the subset of the portion of values. the representative value requires less storage than the first and second common values.

Inventor(s): David Rigel Garcia Garcia

CPC Classification: G06N3/08 (Learning methods)

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