Keras Masking Layer

Masks a sequence by using a mask value to skip timesteps. For each timestep in the input tensor (first dimension in the tensor), if all values in the input tensor at that timestep are equal to mask_value, then the timestep will be masked (skipped) in all downstream layers (as long as they support masking). Corresponds to the Keras Masking 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.
Mask value: For each timestep in the input tensor (first dimension), if all values in the input tensor at that timestep are equal to mask_value, then the timestep will be masked (skipped) in all downstream layers (as long as they support masking).

Input Ports

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

Output Ports

: The Keras deep learning network with an added Masking 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:

v5.9

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.9.0.v202511131549

On NodePit since: 2025-12-11

Last update: 2026-01-22

KNIME versions: Since v3.6

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