Initializer that generates tensors with constant values.
Inherits From: Initializer
tf.keras.initializers.Constant(
value=0.0
)
Used in the notebooks
Only scalar values are allowed.
The constant value provided must be convertible to the dtype requested
when calling the initializer.
Examples:
# Standalone usage:
initializer = Constant(10.)
values = initializer(shape=(2, 2))
# Usage in a Keras layer:
initializer = Constant(10.)
layer = Dense(3, kernel_initializer=initializer)
Args |
value
|
A Python scalar.
|
Methods
clone
View source
clone()
from_config
View source
@classmethod
from_config(
config
)
Instantiates an initializer from a configuration dictionary.
Example:
initializer = RandomUniform(-1, 1)
config = initializer.get_config()
initializer = RandomUniform.from_config(config)
Args |
config
|
A Python dictionary, the output of get_config() .
|
Returns |
An Initializer instance.
|
get_config
View source
get_config()
Returns the initializer's configuration as a JSON-serializable dict.
Returns |
A JSON-serializable Python dict.
|
__call__
View source
__call__(
shape, dtype=None
)
Returns a tensor object initialized as specified by the initializer.
Args |
shape
|
Shape of the tensor.
|
dtype
|
Optional dtype of the tensor.
|