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ExponentialLRDecay(Single, Single, Single, Boolean) Konstruktor

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Definition

Namespace:
Microsoft.ML.Trainers
Assembly:
Microsoft.ML.StandardTrainers.dll
Paket:
Microsoft.ML v4.0.1
Paket:
Microsoft.ML v1.4.0
Paket:
Microsoft.ML v1.5.5
Paket:
Microsoft.ML v1.6.0
Paket:
Microsoft.ML v1.7.0
Paket:
Microsoft.ML v2.0.1
Paket:
Microsoft.ML v3.0.1
Paket:
Microsoft.ML v4.0.0-preview.24522.7
Quelle:
LearningRateScheduler.cs
Quelle:
LearningRateScheduler.cs
Quelle:
LearningRateScheduler.cs

Dieser Kontruktor initialisiert die intiale Lernrate, zahlenzeitliche Epochen pro Verfall, Verfallsrate und Treppenoption. Die Standardwerte stammen aus Tensorflow Slim.

public ExponentialLRDecay(float learningRate = 0.01, float numEpochsPerDecay = 2, float decayRate = 0.94, bool staircase = true);
new Microsoft.ML.Trainers.ExponentialLRDecay : single * single * single * bool -> Microsoft.ML.Trainers.ExponentialLRDecay
Public Sub New (Optional learningRate As Single = 0.01, Optional numEpochsPerDecay As Single = 2, Optional decayRate As Single = 0.94, Optional staircase As Boolean = true)

Parameter

learningRate
Single
numEpochsPerDecay
Single
decayRate
Single
staircase
Boolean

Gilt für: