initializer_variance_scaling: Initializer capable of adapting its scale to the shape of...

Description Usage Arguments Details See Also

View source: R/initializers.R

Description

With distribution="normal", samples are drawn from a truncated normal distribution centered on zero, with stddev = sqrt(scale / n) where n is:

Usage

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initializer_variance_scaling(scale = 1, mode = c("fan_in", "fan_out",
  "fan_avg"), distribution = c("normal", "uniform", "truncated_normal",
  "untruncated_normal"), seed = NULL)

Arguments

scale

Scaling factor (positive float).

mode

One of "fan_in", "fan_out", "fan_avg".

distribution

One of "truncated_normal", "untruncated_normal" and "uniform". For backward compatibility, "normal" will be accepted and converted to "untruncated_normal".

seed

Integer used to seed the random generator.

Details

With distribution="uniform", samples are drawn from a uniform distribution within -limit, limit, with limit = sqrt(3 * scale / n).

See Also

Other initializers: initializer_constant, initializer_glorot_normal, 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_zeros


keras documentation built on Oct. 9, 2019, 1:04 a.m.