layer_global_average_pooling_3d {keras} | R Documentation |
Global Average pooling operation for 3D data.
Description
Global Average pooling operation for 3D data.
Usage
layer_global_average_pooling_3d(
object,
data_format = NULL,
keepdims = FALSE,
...
)
Arguments
object |
What to compose the new
|
data_format |
A string, one of |
keepdims |
A boolean, whether to keep the spatial dimensions or not. If
|
... |
standard layer arguments. |
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)
See Also
Other pooling layers:
layer_average_pooling_1d()
,
layer_average_pooling_2d()
,
layer_average_pooling_3d()
,
layer_global_average_pooling_1d()
,
layer_global_average_pooling_2d()
,
layer_global_max_pooling_1d()
,
layer_global_max_pooling_2d()
,
layer_global_max_pooling_3d()
,
layer_max_pooling_1d()
,
layer_max_pooling_2d()
,
layer_max_pooling_3d()