Keras - Pooling Layer

It is used to perform max pooling operations on temporal data. The signature of the MaxPooling1D function and its arguments with default value is as follows −

keras.layers.MaxPooling1D (
   pool_size = 2, 
   strides = None, 
   padding = 'valid', 
   data_format = 'channels_last'
)

Here,

• pool_size refers the max pooling windows.

• strides refer the factors for downscale.

Similarly, MaxPooling2D and MaxPooling3D are used for Max pooling operations for spatial data.