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..
initializer_lecun_normal(seed = NULL)A Python integer. Used to seed the random generator.
Efficient Backprop, LeCun, Yann et al. 1998
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()