case class RAdam(parameters: Seq[(STen, PTag)], weightDecay: OptimizerHyperparameter, learningRate: OptimizerHyperparameter = simple(0.001), beta1: OptimizerHyperparameter = simple(0.9), beta2: OptimizerHyperparameter = simple(0.999), eps: Double = 1e-8, clip0: Option[Double] = None) extends Optimizer with Product with Serializable
Rectified Adam optimizer algorithm
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Instance Constructors
- new RAdam(parameters: Seq[(STen, PTag)], weightDecay: OptimizerHyperparameter, learningRate: OptimizerHyperparameter = simple(0.001), beta1: OptimizerHyperparameter = simple(0.9), beta2: OptimizerHyperparameter = simple(0.999), eps: Double = 1e-8, clip0: Option[Double] = None)
Value Members
- final def !=(arg0: Any): Boolean
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- final def asInstanceOf[T0]: T0
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- val beta1: OptimizerHyperparameter
- val beta2: OptimizerHyperparameter
- val clip: Option[STen]
- val clip0: Option[Double]
- def clone(): AnyRef
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
- val eps: Double
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- final def isInstanceOf[T0]: Boolean
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- val learningRate: OptimizerHyperparameter
- def load(tensors: Seq[STen]): Unit
- val mt: List[STen]
- final def ne(arg0: AnyRef): Boolean
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- final def notifyAll(): Unit
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- val parameters: Seq[(STen, PTag)]
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- def release(): Unit
- val scope: Scope
- def state: List[STen]
- def step(gradients: Seq[Option[STen]], scheduleFactor: Double): Unit
- var stepCount: Long
- val stepCountSTen: STen
- final def synchronized[T0](arg0: => T0): T0
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- val vt: List[STen]
- final def wait(arg0: Long, arg1: Int): Unit
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- val weightDecay: OptimizerHyperparameter
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- def finalize(): Unit
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- Deprecated
(Since version 9)