## Pool2D

# 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