TruncatedNormal

class TruncatedNormal(seed: Long) : Initializer

Initializer that generates a truncated normal distribution.

These values are similar to values from a RandomNormal except that values more than two standard deviations from the mean are discarded and re-drawn. This is the recommended initializer for neural network weights and filters.

Constructors

TruncatedNormal

fun TruncatedNormal(seed: Long = 12L)

Creates TruncatedNormal 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

seed

val seed: Long = 12L

Seed.