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|
Initializer that generates tensors with constant values.
Inherits From: Initializer
tf.keras.initializers.Constant(
value=0.0
)
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
clone()
from_config
@classmethodfrom_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
get_config()
Returns the initializer's configuration as a JSON-serializable dict.
| Returns | |
|---|---|
| A JSON-serializable Python dict. |
__call__
__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. |