{ }
View source on GitHub |
Zero-padding layer for 2D input (e.g. picture).
Inherits From: Layer
, Operation
tf.keras.layers.ZeroPadding2D(
padding=(1, 1), data_format=None, **kwargs
)
Used in the notebooks
Used in the guide | Used in the tutorials |
---|---|
This layer can add rows and columns of zeros at the top, bottom, left and right side of an image tensor.
Example:
input_shape = (1, 1, 2, 2)
x = np.arange(np.prod(input_shape)).reshape(input_shape)
x
[[[[0 1]
[2 3]]]]
y = keras.layers.ZeroPadding2D(padding=1)(x)
y
[[[[0 0]
[0 0]
[0 0]
[0 0]]
[[0 0]
[0 1]
[2 3]
[0 0]]
[[0 0]
[0 0]
[0 0]
[0 0]]]]
Input shape | |
---|---|
4D tensor with shape:
|
Output shape | |
---|---|
4D tensor with shape:
|
Methods
from_config
@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
symbolic_call(
*args, **kwargs
)