DeprecatedKNIME Deep Learning - Keras Integration version 4.1.0.v201911110939 by KNIME AG, Zurich, Switzerland
Like the leaky ReLU, the parametric ReLU introduces a slope in the negative part of the input space to improve learning dynamics compared to ordinary ReLUs. The difference to leaky ReLUs is that here the slope alpha is treated as a parameter that is trained alongside the rest of the network's weights. Alpha is usually a vector containing a dedicated slope for each feature of the input. (also see the Shared axes option). Corresponds to the Keras PReLU Layer.
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