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Keras Average Pooling 2D Layer

KNIME Deep Learning - Keras Integration version 4.4.0.v202106121618 by KNIME AG, Zurich, Switzerland

This layer applies average pooling in two dimensions. Corresponds to the Keras Average Pooling 2D Layer.


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.
The step size of the pooling window in two dimensions.
Pool size
The size of the pooling window in two dimensions.
Different padding modes to apply to the spatial dimensions (excluding the batch and channel dimensions) of the inputs before the pooling operation. The padding will be done with zeroes. A detailed explanation of the different modes can be found here.
  • Valid: No padding
  • Same: Padding such that the spatial output dimension do not change.
  • Full: Padding with kernel size - 1

Input Ports

The Keras deep learning network to which to add an Average Pooling 2D layer.

Output Ports

The Keras deep learning network with an added Average Pooling 2D layer.

Best Friends (Incoming)

Best Friends (Outgoing)


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


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

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