Pool2D

Icon:

Function:

Down-sampling layer that performs max or average pooling operation on 2 dimensional data.





Parameters:


PoolSize: The size of the pooling windows for both dimensions (height and width)


Advance Settings:

Strides

Stride (x, y) integers specifies the step of the convolution along the x and y axis of the input volume.

  • Increase Strides to reduce the size of the output volume.
  • The default value is (2,2)


Paddings

Padding is used to preserve the size of the input volume.

  • Valid:  the input volume is not zero-padded and the spatial dimensions are allowed to reduce via the natural application of convolution.
  • Same: preserve the spatial dimensions of the volume such that the output volume size matches the input volume size