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.

Views

This node has no views

Workflows

07_GAN_MNIST_Digit_GeneratorKNIME Hub

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

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:

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202312081534

On NodePit since: 2024-07-09

Last update: 2024-11-21

KNIME versions: Since v3.6

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!