initializer_glorot_normal {keras}R Documentation

Glorot normal initializer, also called Xavier normal initializer.

Description

It draws samples from a truncated normal distribution centered on 0 with stddev = sqrt(2 / (fan_in + fan_out)) where fan_in is the number of input units in the weight tensor and fan_out is the number of output units in the weight tensor.

Usage

initializer_glorot_normal(seed = NULL)

Arguments

seed

Integer used to seed the random generator.

References

Glorot & Bengio, AISTATS 2010 https://proceedings.mlr.press/v9/glorot10a/glorot10a.pdf

See Also

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


[Package keras version 2.15.0 Index]