We present a simple comparison of using the rectified linear units (ReLU) activation function, and a number of its variations, in a deep neural network. We present empirical results comparing ReLU functions with Logistic and Hyperbolic Tangent functions in image classification, text classification, and image reconstruction.
Copyright 2018-2020 Abien Fred Agarap
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