StochasticOptimizer

enum StochasticOptimizer : Enum<StochasticOptimizer> , ConvertibleToJava<StochasticOptimizer>

Type of optimizer.

Entries

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No optimizer selected.

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Stochastic Gradient Descent optimizer.

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Adam is algorithm the optimizes stochastic objective functions based on adaptive estimates of moments

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AdamW is a variant of the optimizer Adam that has an improved implementation of weight decay.

Types

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object Companion

Properties

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Returns a representation of an immutable list of all enum entries, in the order they're declared.

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val javaValue: StochasticOptimizer
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Functions

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open override fun toJava(): StochasticOptimizer
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Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

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Returns an array containing the constants of this enum type, in the order they're declared.