initializer_lecun_normal {keras}

LeCun normal initializer.

Description

It draws samples from a truncated normal distribution centered on 0 with stddev <- sqrt(1 / fan_in) where fan_in is the number of input units in the weight tensor..

Usage

initializer_lecun_normal(seed = NULL)

Arguments

seed

A Python integer. Used to seed the random generator.

References

• Self-Normalizing Neural Networks

• Efficient Backprop, LeCun, Yann et al. 1998

See Also

Other initializers: initializer_constant(), initializer_glorot_normal(), initializer_glorot_uniform(), initializer_he_normal(), initializer_he_uniform(), initializer_identity(), initializer_lecun_uniform(), initializer_ones(), initializer_orthogonal(), initializer_random_normal(), initializer_random_uniform(), initializer_truncated_normal(), initializer_variance_scaling(), initializer_zeros()