Translations:Gradient Descent/1/zh: Difference between revisions

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Message definition (Gradient Descent)

'''Gradient descent''' is a first-order iterative optimisation algorithm for finding a local minimum of a differentiable function. It is the foundation of nearly all modern machine-learning training procedures, from simple linear regression to billion-parameter deep neural networks.

梯度下降是一种用于求可微函数局部极小值的一阶迭代优化算法。它是几乎所有现代机器学习训练流程的基础，从简单的线性回归到拥有数十亿参数的深度神经网络。

Revision as of 00:38, 27 April 2026 (view source) DeployBot (talk \| contribs) ([deploy-bot] Translate Gradient Descent unit 1 to zh) Tag: translation		Revision as of 03:30, 27 April 2026 (view source) DeployBot (talk \| contribs) (Batch translate Gradient Descent unit 1 → zh) Tag: translation Newer edit →
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	'''梯度下降'''（gradient descent）是一种用于寻找可微函数局部极小值的一阶迭代优化算法。它是现代几乎所有机器学习训练流程的基础，从简单的线性回归到拥有数十亿参数的深度神经网络无一例外。		'''梯度下降'''是一种用于求可微函数局部极小值的一阶迭代优化算法。它是几乎所有现代机器学习训练流程的基础，从简单的线性回归到拥有数十亿参数的深度神经网络。