PolynomialLRDecay Class

Definition

Namespace:

Microsoft.ML.Trainers

Assembly:

Microsoft.ML.StandardTrainers.dll

Package:

Microsoft.ML v5.0.0-preview.1.25125.4

Source:

LearningRateScheduler.cs

This class implements polynomial Learning rate decay. Implemented from the tensorflow documentation. Source: https://www.tensorflow.org/api_docs/python/tf/compat/v1/train/polynomial_decay Default values and implementation of learning rate is from Tensorflow Slim model tests. Source : https://github.com/tensorflow/models/blob/master/research/slim/train_image_classifier.py

C#

public sealed class PolynomialLRDecay : Microsoft.ML.Trainers.LearningRateScheduler

Inheritance

Object

LearningRateScheduler

PolynomialLRDecay

Constructors

PolynomialLRDecay(Single, Single, Single, Single, Boolean)

Fields

Cycle	whether or not it should cycle once decay has been reached
EndLearningRate	The minimal end learning rate.
LearningRate	Initial learning rate.
NumEpochsPerDecay	Number of epochs after which learning rate decays.
Power	The power of the polynomial

Applies to