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 ...

This paper formulates a novel cache-aided matrix multiplication retrieval problem, relevant for data analytics and machine learning applications. In the considered problem, each cache-aided user ...