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Pooling Layer

KNIME Deeplearning4J Integration version 3.6.0.v201805030959 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.

Options

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.
Stride
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)

Workflows

Update Site

To use this node in KNIME, install KNIME Deeplearning4J Integration from the following update site:

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