MeanPoolingLayer.md

CMeanPoolingLayer Class

• CMeanPoolingLayer Class
  • Settings
    • Filter size
    • Filter stride
  • Trainable parameters
  • Inputs
  • Outputs

This class implements a layer which performs mean pooling on a set of two-dimensional multi-channel images.

Settings

Filter size

void SetFilterHeight( int filterHeight );
void SetFilterWidth( int filterWidth );

Sets the filter size.

Filter stride

void SetStrideHeight( int strideHeight );
void SetStrideWidth( int strideWidth );

Sets the filter stride. The default value is 1.

Trainable parameters

The layer has no trainable parameters.

Inputs

The single input accepts a blob of the following dimensions:

• BatchLength * BatchWidth * ListSize - the number of images in the set
• Height - images' height
• Width - images' width
• Depth * Channels - the number of channels the image format uses

Outputs

The single output contains a blob of the dimensions:

• BatchLength is equal to the input BatchLength.
• BatchWidth is equal to the input BatchWidth.
• ListSize is equal to the input ListSize.
• Height can be calculated from the input Height as (Height - FilterHeight)/StrideHeight + 1.
• Width can be calculated from the input Width as (Width - FilterWidth)/StrideWidth + 1.
• Depth is equal to the input Depth.
• Channels is equal to the input Channels.