tf.keras.layers.AveragePooling1D

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Class AveragePooling1D

Average pooling for temporal data.

Aliases:

• Class tf.compat.v1.keras.layers.AveragePooling1D
• Class tf.compat.v1.keras.layers.AvgPool1D
• Class tf.compat.v2.keras.layers.AveragePooling1D
• Class tf.compat.v2.keras.layers.AvgPool1D
• Class tf.keras.layers.AvgPool1D

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).
• 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).

__init__

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__init__(
    pool_size=2,
    strides=None,
    padding='valid',
    data_format='channels_last',
    **kwargs
)