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APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks

arXiv — cs.LG•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
A new activation function called APALU has been introduced, which is trainable and adaptive, enhancing the performance of deep learning networks. Traditional activation functions like ReLU have limitations due to their static nature, which can hinder their effectiveness in specialized tasks. APALU aims to overcome these challenges by adapting to the unique characteristics of the data, making it a significant advancement in the field of artificial intelligence. This innovation could lead to improved outcomes in various applications, from image recognition to natural language processing.
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