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Keras Leaky ReLU Layer

KNIME Deep Learning - Keras Integration version 4.2.1.v202008251157 by KNIME AG, Zurich, Switzerland

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

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

Output Ports

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

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Workflows

Installation

To use this node in KNIME, install KNIME Deep Learning - Keras Integration from the following update site:

KNIME 4.2

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

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