tf.keras.layers.AveragePooling1D

Average pooling for temporal data.

Inherits From: Layer, Module

Main aliases

tf.keras.layers.AvgPool1D

Compat aliases for migration

See Migration guide for more details.

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)`.

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).

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).

Arguments