layer_global_max_pooling_3d {keras} | R Documentation |
Global Max pooling operation for 3D data.
Description
Global Max pooling operation for 3D data.
Usage
layer_global_max_pooling_3d(object, data_format = NULL, keepdims = FALSE, ...)
Arguments
object |
What to compose the new Layer instance with. Typically a
Sequential model or a Tensor (e.g., as returned by layer_input() ).
The return value depends on object . If object is:
missing or NULL , the Layer instance is returned.
a Sequential model, the model with an additional layer is returned.
a Tensor, the output tensor from layer_instance(object) is returned.
|
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".
|
keepdims |
A boolean, whether to keep the spatial dimensions or not. If
keepdims is FALSE (default), the rank of the tensor is reduced for
spatial dimensions. If keepdims is TRUE , the spatial dimensions are
retained with length 1. The behavior is the same as for tf.reduce_mean or
np.mean .
|
... |
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_average_pooling_3d()
,
layer_global_max_pooling_1d()
,
layer_global_max_pooling_2d()
,
layer_max_pooling_1d()
,
layer_max_pooling_2d()
,
layer_max_pooling_3d()
[Package
keras version 2.15.0
Index]