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LsrDecay Class

  • Reference

Definition

Namespace:
Microsoft.ML.Trainers
Assembly:
Microsoft.ML.StandardTrainers.dll
Package:
Microsoft.ML v3.0.1
Package:
Microsoft.ML v1.4.0
Package:
Microsoft.ML v1.5.5
Package:
Microsoft.ML v1.6.0
Package:
Microsoft.ML v1.7.0
Package:
Microsoft.ML v2.0.0

This class implements linear scaling rule and LR decay. Implementation adopted from RESNET-CIFAR benchmark test in Tensorflow slim. https://github.com/tensorflow/models/blob/b974c3f95a37acedcc3c58566834c78fcae4b214/official/vision/image_classification/resnet_cifar_main.py

public sealed class LsrDecay : Microsoft.ML.Trainers.LearningRateScheduler
type LsrDecay = class
    inherit LearningRateScheduler
Public NotInheritable Class LsrDecay
Inherits LearningRateScheduler
Inheritance
Object
LearningRateScheduler
LsrDecay

Constructors

LsrDecay(IReadOnlyList<LsrDecay.LearningRateSchedulerItem>, Single)

Linear Scale rule and LR Decay construtor assigns a user defined LR scheduler.
LsrDecay(Single)

Linear Scale rule and LR Decay construtor assigns a default LR scheduler.

Fields

BaseLearningRate

Base Learning rate to start off with.

Applies to