tf.keras.layers.GlobalAveragePooling3D

Class GlobalAveragePooling3D

Global Average pooling operation for 3D data.

Aliases:

  • Class tf.compat.v1.keras.layers.GlobalAveragePooling3D
  • Class tf.compat.v1.keras.layers.GlobalAvgPool3D
  • Class tf.compat.v2.keras.layers.GlobalAveragePooling3D
  • Class tf.compat.v2.keras.layers.GlobalAvgPool3D
  • Class tf.keras.layers.GlobalAveragePooling3D
  • Class tf.keras.layers.GlobalAvgPool3D

Defined in python/keras/layers/pooling.py.

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, spatial_dim1, spatial_dim2, spatial_dim3, channels) while channels_first corresponds to inputs with shape (batch, channels, spatial_dim1, spatial_dim2, spatial_dim3). It defaults to the image_data_format value found in your Keras config file at ~/.keras/keras.json. If you never set it, then it will be "channels_last".

Input shape:

  • If data_format='channels_last': 5D tensor with shape: (batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels)
  • If data_format='channels_first': 5D tensor with shape: (batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3)

Output shape:

2D tensor with shape (batch_size, channels).

__init__

__init__(
    data_format=None,
    **kwargs
)