Pooling Layer

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

Icon
The model which will be extended by this layer.

Output Ports

Icon
The model from the input port additionally containing this layer.

Views

This node has no views

Workflows

Further Links

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.