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Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions

Chinmay Rane, Kanishka Tyagi, Adrienne Kline, Tushar Chugh, M.T. Manry

2024Evolutionary Intelligence28 citationsDOI

Topics & Concepts

Computer scienceFeed forwardConvolutional neural networkFeedforward neural networkActivation functionArtificial neural networkArtificial intelligenceMachine learningControl engineeringEngineeringNeural Networks and ApplicationsGeophysical Methods and ApplicationsMachine Learning and ELM
Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions | Litcius