tf.keras.layers.MaxPool1D | TensorFlow v2.0.0 (original) (raw)

tf.keras.layers.MaxPool1D

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Max pooling operation for temporal data.

Main aliases

tf.keras.layers.MaxPooling1D

Compat aliases for migration

SeeMigration guide for more details.

tf.keras.layers.MaxPool1D(
    pool_size=2, strides=None, padding='valid', data_format='channels_last',
    **kwargs
)

Arguments
pool_size	Integer, size of the max 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_firstcorresponds 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).

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Last updated 2020-10-01 UTC.