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Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, ...
Machine-learning applications have garnered widespread adoption over the last several years. Graph Neural Networks have been proposed as an extension of machine-learning models to graph-structured ...
Abstract: Coded distributed matrix multiplication (CDMM) schemes, such as MatDot codes, seek efficient ways to distribute matrix multiplication task (s) to a set of N distributed servers so that the ...