tf.keras.initializers.Constant

Initializer that generates tensors with constant values.

Inherits From: Initializer

Main aliases

tf.keras.initializers.constant

tf.keras.initializers.Constant(
    value=0.0
)

Used in the tutorials
Classification on imbalanced data Train a Deep Q Network with TF-Agents

Only scalar values are allowed. The constant value provided must be convertible to the dtype requested when calling the initializer.

# 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()

@classmethod
from_config(
    config
)

Instantiates an initializer from a configuration dictionary.

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()

Returns the initializer's configuration as a JSON-serializable dict.

Returns
A JSON-serializable Python dict.

__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.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/initializers/Constant