Global average pooling operation for 3D data.
Inherits From: Layer
, Operation
tf.keras.layers.GlobalAveragePooling3D(
data_format=None, keepdims=False, **kwargs
)
Used in the notebooks
Args |
data_format
|
string, either "channels_last" 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 temporal dimension or not.
If keepdims is False (default), the rank of the tensor is
reduced for spatial dimensions. If keepdims is True , the
spatial dimension are retained with length 1.
The behavior is the same as for tf.reduce_mean or np.mean .
|
- 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:
- If
keepdims=False
:
2D tensor with shape (batch_size, channels)
.
- If
keepdims=True
:
- If
data_format="channels_last"
:
5D tensor with shape (batch_size, 1, 1, 1, channels)
- If
data_format="channels_first"
:
5D tensor with shape (batch_size, channels, 1, 1, 1)
Example:
x = np.random.rand(2, 4, 5, 4, 3)
y = keras.layers.GlobalAveragePooling3D()(x)
y.shape
(2, 3)
Attributes |
input
|
Retrieves the input tensor(s) of a symbolic operation.
Only returns the tensor(s) corresponding to the first time
the operation was called.
|
output
|
Retrieves the output tensor(s) of a layer.
Only returns the tensor(s) corresponding to the first time
the operation was called.
|
Methods
from_config
View source
@classmethod
from_config(
config
)
Creates a layer from its config.
This method is the reverse of get_config
,
capable of instantiating the same layer from the config
dictionary. It does not handle layer connectivity
(handled by Network), nor weights (handled by set_weights
).
Args |
config
|
A Python dictionary, typically the
output of get_config.
|
Returns |
A layer instance.
|
symbolic_call
View source
symbolic_call(
*args, **kwargs
)