Keras Leaky ReLU Layer

A leaky ReLU is a rectified linear unit (ReLU) with a slope in the negative part of its input space. The motivation for leaky ReLUs is that vanilla ReLUs have a gradient of zero in the negative part of their input space which can harm learning. Corresponds to the Keras Leaky ReLU Layer.

Options

Name prefix: The name prefix of the layer. The prefix is complemented by an index suffix to obtain a unique layer name. If this option is unchecked, the name prefix is derived from the layer type.
Alpha: Slope in the negative part of the input space. Usually a small positive value. Setting alpha to 0.0 corresponds to a ReLU, setting alpha to 1.0 corresponds to the identity function.

Input Ports

: The Keras deep learning network to which to add a Leaky ReLU layer.

Output Ports

: The Keras deep learning network with an added Leaky ReLU layer.

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Installation

To use this node in KNIME, install the extension KNIME Deep Learning - Keras Integration from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.2.0.v202310301554

On NodePit since: 2023-12-06

Last update: 2024-04-19

KNIME versions: Since v3.6

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