MaxPool#
- class brainpy.dnn.MaxPool(kernel_size, stride=1, padding='VALID', channel_axis=None, mode=None, name=None)[source]#
Pools the input by taking the maximum over a window.
- Parameters:
kernel_size (int, sequence of int) – An integer, or a sequence of integers defining the window to reduce over.
stride (int, sequence of int) – An integer, or a sequence of integers, representing the inter-window stride (default: (1, …, 1)).
padding (str, sequence of tuple) – Either the string ‘SAME’, the string ‘VALID’, or a sequence of n (low, high) integer pairs that give the padding to apply before and after each spatial dimension.
channel_axis (int, optional) – Axis of the spatial channels for which pooling is skipped, used to infer
kernel_sizeorstrideif they are an integer.mode (Mode) – The computation mode.
name (optional, str) – The object name.