kerasadf.layers.pooling.Pooling2D¶

class kerasadf.layers.pooling.Pooling2D(pool_function, pool_size, strides, padding='valid', data_format=None, **kwargs)¶

Pooling layer for arbitrary pooling functions, for 2D inputs.

Assumed Density Filtering (ADF) version of the abstract Keras Pooling2D layer.

This class only exists for code reuse. It will never be an exposed API.

Parameters:

pool_functioncallable(): The pooling function to apply, e.g. tf.nn.max_pool2d.
pool_sizeint or tuple of int: An integer or tuple/list of two integers, (pool_height, pool_width) specifying the size of the pooling window. Can be a single integer to specify the same value for all spatial dimensions.
stridesint or tuple of int or None: An integer or tuple/list of two integers, specifying the strides of the pooling operation. Can be a single integer to specify the same value for all spatial dimensions. If None, the pool_size will be used. Default is None.
padding{“valid”, “same”}, optional: The padding method. Case-insensitive. Default is “valid”.
data_format{“channels_last”, “channels_first”}, optional: The ordering of the dimensions in the inputs. “channels_last” corresponds to inputs with shape (batch, height, width, channels) while “channels_first” corresponds to inputs with shape (batch, channels, height, width). It defaults to the image_data_format value found in your Keras config file at ~/.keras/keras.json. If you never set it, then it will be “channels_last”.