tf.keras.layers.GlobalAveragePooling3D
| View source on GitHub |
Global Average pooling operation for 3D data.
tf.keras.layers.GlobalAveragePooling3D(
data_format=None, **kwargs
)
| 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).
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/layers/GlobalAveragePooling3D