GlorotNormal

class GlorotNormal(seed: Long) : VarianceScaling

The Glorot normal initializer, also called Xavier normal initializer.

Draw 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.

Constructors

GlorotNormal

fun GlorotNormal(seed: Long = 12L)

Creates GlorotNormal initializer.

Functions

apply

fun apply(fanIn: Int, fanOut: Int, tf: Ops, input: Operand<Float>, name: String): InitializerOperation

Adds an Assign Op to the graph to initialize a tensorflow variable as specified by the initializer.

initialize

open override fun initialize(fanIn: Int, fanOut: Int, tf: Ops, shape: Operand<Int>, name: String): Operand<Float>

Returns a Tensor object initialized as specified by the initializer.

toString

open override fun toString(): String

Properties

distribution

val distribution: Distribution

Random distribution to use. One of "truncated_normal", "untruncated_normal" and "uniform".

mode

val mode: Mode

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

scale

val scale: Double = 1.0

Scaling factor (should be positive).

seed

val seed: Long = 12L

Used to create random seeds.

GlorotNormal

See also

Constructors

Functions

Properties