tf.keras.initializers.Zeros

Initializer that generates tensors initialized to 0.

Inherits From: zeros_initializer, Initializer

View aliases

Main aliases

tf.initializers.Zeros, tf.initializers.zeros, tf.keras.initializers.zeros

Also available via the shortcut function tf.keras.initializers.zeros.

Examples:

# Standalone usage:
initializer = tf.keras.initializers.Zeros()
values = initializer(shape=(2, 2))

# Usage in a Keras layer:
initializer = tf.keras.initializers.Zeros()
layer = tf.keras.layers.Dense(3, kernel_initializer=initializer)

Methods

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. It will typically be the output of get_config.

Returns
An Initializer instance.

get_config

View source

get_config()

Returns the configuration of the initializer as a JSON-serializable dict.

Returns
A JSON-serializable Python dict.

__call__

View source

__call__(
    shape, dtype=None, **kwargs
)

Returns a tensor object initialized as specified by the initializer.

Args
shape	Shape of the tensor.
dtype	Optional dtype of the tensor. Only numeric or boolean dtypes are supported. If not specified, tf.keras.backend.floatx() is used, which default to float32 unless you configured it otherwise (via tf.keras.backend.set_floatx(float_dtype)).
**kwargs	Additional keyword arguments.