Gibbs entropy over measurement vectors is claimed to track neural-network compression performance, and a compressed-sensing pruning method (DTC) is introduced as supporting evidence.
Machta, Entropy, information, and computa- tion, American Journal of Physics 67 (12) (1999) 1074–1077
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Gibbs randomness-compression proposition
Gibbs entropy over measurement vectors is claimed to track neural-network compression performance, and a compressed-sensing pruning method (DTC) is introduced as supporting evidence.