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TensorFlow 1 version
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View source on GitHub
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Global Average pooling operation for 3D data.
tf.keras.layers.GlobalAveragePooling3D(
data_format=None, **kwargs
)
Arguments | |
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data_format
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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".
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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).