tf.keras.initializers.Zeros

Initializer that generates tensors initialized to 0.

Inherits From: zeros_initializer, Initializer

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

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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

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

Returns
A JSON-serializable Python dict.

__call__

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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)).