Class

ml.dmlc.mxnet

LRScheduler

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abstract class LRScheduler extends AnyRef

Learning rate scheduler, which adaptively changes the learning rate based on the training progress.

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Instance Constructors

  1. new LRScheduler(baseLR: Float = 0.01f)

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Abstract Value Members

  1. abstract def apply(numUpdate: Int): Float

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    Base class of a learning rate scheduler

    Base class of a learning rate scheduler

    The training progress is presented by num_update, which can be roughly viewed as the number of minibatches executed so far. Its value is non-decreasing, and increases at most by one.

    The exact value is the upper bound of the number of updates applied to a weight/index.

    numUpdate

    Int, the maximal number of updates applied to a weight.

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. var baseLR: Float

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  6. def clone(): AnyRef

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