Convolutional neural network hyperparameters for face emotion recognition using genetic algorithm
Muhammad Sam'an,
Safuan Safuan,
Muhammad Munsarif
Abstract:The development of artificial intelligence in facial emotion recognition (FER) is rapidly growing and has been widely applied in various fields. Deep learning (DL) techniques with evolutionary algorithms have become the preferred choice for solving various security, health, gaming, and other related problems. This research proposes the use of a genetic algorithm (GA) as the main method to optimize hyperparameters in the convolutional neural network (CNN) model for FER. The required computation time is approxim… Show more
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