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title sgd_optimizer: sgd_optimizer
description Stochastic gradient descent optimizer.
keywords optimizer, sgd
author WilliamDAssafMSFT
ms.author wiassaf
manager cgronlun
ms.date 07/15/2019
ms.topic reference
ms.prod sql
ms.technology machine-learning-services
ms.service
ms.assetid
ROBOTS
audience
ms.devlang Python
ms.reviewer
ms.suite
ms.tgt_pltfrm
ms.custom
monikerRange >=sql-server-2017||>=sql-server-linux-ver15

microsoftml.sgd_optimizer: Stochastic gradient descent

Usage

microsoftml.sgd_optimizer(learning_rate: numbers.Real = None,
    momentum: numbers.Real = None, nag: bool = None,
    weight_decay: numbers.Real = None,
    l_rate_red_ratio: numbers.Real = None,
    l_rate_red_freq: numbers.Real = None,
    l_rate_red_error_ratio: numbers.Real = None)

Description

Stochastic gradient descent optimizer.

Arguments

learning_rate

Learning rate (settings).

momentum

Momentum Term (settings).

nag

Use Nesterov’s accelerated gradient (settings).

weight_decay

Weight decay (settings).

l_rate_red_ratio

Learning rate reduction ratio (settings).

l_rate_red_freq

Learning rate reduction ratio (settings).

l_rate_red_error_ratio

Relative error reduction criterion for learning rate reduction (settings).

See also

adadelta_optimizer