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Pooling Layer

KNIME Deeplearning4J Integration version 4.4.0.v202104131313 by KNIME AG, Zurich, Switzerland

This node adds a Pooling layer to the Deep Learning Model supplied by the input port. The layer performs a pooling operation usually on patches of the images.


Pooling Type
The type of pooling that should be used.
Kernel Size
The size if the pooling kernel in each dimension. The values are given in pixels and are separated by a comma.
The stride for the pooling kernel in each dimension. Hence, the step size the kernel will be shifted over the input. The values are given in pixels and are separated by a comma.

Input Ports

The model which will be extended by this layer.

Output Ports

The model from the input port additionally containing this layer.

Best Friends (Incoming)

Best Friends (Outgoing)



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

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