GlobalMeanPoolingLayer.md

CGlobalMeanPoolingLayer Class

• CGlobalMeanPoolingLayer Class
  • Trainable parameters
  • Inputs
  • Outputs

This class implements a layer which performs mean pooling on Height, Width, and Depth dimensions of the input.

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 - the images' height
• Width - the images' width
• Depth - the images' 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 is equal to 1
• Width is equal to 1
• Depth is equal to 1
• Channels is equal to the input Channels