Feb. 15, 2024, 5:42 a.m. | Vladim\'ir Kunc

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09249v1 Announce Type: new
Abstract: Neural networks are the state-of-the-art approach for many tasks and the activation function is one of the main building blocks that allow such performance. Recently, a novel transformative adaptive activation function (TAAF) allowing for any vertical and horizontal translation and scaling was proposed. This work sets the TAAF into the context of other activation functions. It shows that the TAAFs generalize over 50 existing activation functions and utilize similar concepts as over 70 other activation …

abstract art arxiv building comparison cs.lg cs.ne function functions networks neural networks novel performance relationship scaling state tasks translation type

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