tf.initializers.lecun_uniform

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LeCun uniform initializer.

Aliases:

• tf.compat.v1.initializers.lecun_uniform
• tf.compat.v1.keras.initializers.lecun_uniform
• tf.keras.initializers.lecun_uniform

tf.initializers.lecun_uniform(seed=None)

It draws samples from a uniform distribution within [-limit, limit] where limit is sqrt(3 / fan_in) where fan_in is the number of input units in the weight tensor.

Arguments:

• seed: A Python integer. Used to seed the random generator.

Returns:

An initializer.

References:

• Self-Normalizing Neural Networks, Klambauer et al., 2017 # pylint: disable=line-too-long (pdf)
• Efficient Backprop, Lecun et al., 1998