Toward Generalized Entropic Sparsification for Convolutional Neural Networks
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Convolutional neural networks (CNNs) are reported to be overparametrized. The search for optimal (minimal) and sufficient architecture is an NP-hard problem: if the network has $N$ neurons, then there are 2$^{N}$ possibilities to connect them-and therefore 2$^... ...
