PolynomialLRDecay Class
Definition
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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
public sealed class PolynomialLRDecay : Microsoft.ML.Trainers.LearningRateScheduler
type PolynomialLRDecay = class
inherit LearningRateScheduler
Public NotInheritable Class PolynomialLRDecay
Inherits LearningRateScheduler
- Inheritance
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
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