`initializer_variance_scaling.Rd`

With `distribution="normal"`

, samples are drawn from a truncated normal
distribution centered on zero, with `stddev = sqrt(scale / n)`

where n is:

number of input units in the weight tensor, if mode = "fan_in"

number of output units, if mode = "fan_out"

average of the numbers of input and output units, if mode = "fan_avg"

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

scale | Scaling factor (positive float). |
---|---|

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

distribution | One of "normal", "uniform" |

seed | Integer used to seed the random generator. |

With `distribution="uniform"`

, samples are drawn from a uniform distribution
within `-limit, limit`

, with `limit = sqrt(3 * scale / n)`

.

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`