tf.initializers.lecun_uniform

Aliases:

  • tf.initializers.lecun_uniform
  • tf.keras.initializers.lecun_uniform
tf.initializers.lecun_uniform(seed=None)

Defined in tensorflow/python/ops/init_ops.py.

LeCun uniform initializer.

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