LeCun normal initializer.

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)

Arguments

seed

A Python integer. Used to seed the random generator.

References

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