tf.compat.v1.layers.AveragePooling1D

Average Pooling layer for 1D inputs.

tf.compat.v1.layers.AveragePooling1D(
    pool_size, strides, padding='valid', data_format='channels_last', name=None,
    **kwargs
)

Arguments
`pool_size`	An integer or tuple/list of a single integer, representing the size of the pooling window.
`strides`	An integer or tuple/list of a single integer, specifying the strides of the pooling operation.
`padding`	A string. The padding method, either 'valid' or 'same'. Case-insensitive.
`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, length, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, length)`.
`name`	A string, the name of the layer.

Attributes
`graph`	DEPRECATED FUNCTION Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Stop using this property because tf.layers layers no longer track their graph.
`scope_name`

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/layers/AveragePooling1D

Title here