tf.layers.average_pooling1d
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Average Pooling layer for 1D inputs. (deprecated)
tf.layers.average_pooling1d(
inputs, pool_size, strides, padding='valid', data_format='channels_last',
name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version.
Instructions for updating:
Use keras.layers.AveragePooling1D instead.
Arguments
inputs
The tensor over which to pool. Must have rank 3.
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.
Returns
The output tensor, of rank 3.
Raises
ValueError
if eager execution is enabled.
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Last updated 2020-10-01 UTC.
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