tf.keras.layers.AveragePooling1D

View source on GitHub

Average pooling for temporal data.

Inherits From: Layer, Module

View aliases

Main aliases

tf.keras.layers.AvgPool1D

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.AveragePooling1D, tf.compat.v1.keras.layers.AvgPool1D

tf.keras.layers.AveragePooling1D(
    pool_size=2, strides=None, padding='valid',
    data_format='channels_last', **kwargs
)

Arguments
pool_size	Integer, size of the average pooling windows.
strides	Integer, or None. Factor by which to downscale. E.g. 2 will halve the input. If None, it will default to pool_size.
padding	One of "valid" or "same" (case-insensitive). "valid" means no padding. "same" results in padding evenly to the left/right or up/down of the input such that output has the same height/width dimension as the input.
data_format	A string, one of channels_last (default) or channels_first. The ordering of the dimensions in the inputs. channels_last corresponds to inputs with shape (batch, steps, features) while channels_first corresponds to inputs with shape (batch, features, steps).

Input shape:

• If data_format='channels_last': 3D tensor with shape (batch_size, steps, features).
• If data_format='channels_first': 3D tensor with shape (batch_size, features, steps).

Output shape:

• If data_format='channels_last': 3D tensor with shape (batch_size, downsampled_steps, features).
• If data_format='channels_first': 3D tensor with shape (batch_size, features, downsampled_steps).