tf.compat.v2.keras.initializers.lecun_uniform

LeCun uniform initializer.

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Compat aliases for migration

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`tf.compat.v2.initializers.lecun_uniform`

tf.compat.v2.keras.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 (pdf)
• Efficient Backprop, Lecun et al., 1998