tf.keras.layers.GlobalAveragePooling1D

TensorFlow 2 version View source on GitHub

Class GlobalAveragePooling1D

Global average pooling operation for temporal data.

Aliases:

Arguments:

  • 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).

Call arguments:

  • inputs: A 3D tensor.
  • mask: Binary tensor of shape (batch_size, steps) indicating whether a given step should be masked (excluded from the average).

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:

2D tensor with shape (batch_size, features).

__init__

View source

__init__(
    data_format='channels_last',
    **kwargs
)