梯度下降英文解释翻译、梯度下降的近义词、反义词、例句
英语翻译：
【计】 gradient descent
分词翻译：
梯的英语翻译：
ladder; stairs; terraced度的英语翻译：
consideration; tolerance; degree; limit; linear measure; surmise; estimateextent
【计】 degrees; k.w.h.
【化】 dimension; kilowatt hour
【医】 Deg.; degree
【经】 degree
下降的英语翻译：
go down; come down; decline; descend; drop; fall; gravitate; plungedegression
【医】 descensus; descent
【经】 decline; slump
网络扩展解释
梯度下降（Tī Dù Xià Jiàng）
梯度下降是一种用于优化求解问题的迭代算法。它通过沿着最陡的下降方向逐步迭代来逼近函数的最小值。在机器学习和优化领域中被广泛应用。
Gradient Descent
Gradient descent is an iterative algorithm used for optimization problem-solving. It approaches the minimum value of a function by iteratively moving along the steepest descent direction. It is widely used in machine learning and optimization fields.
英文读音
[ˈɡreɪ.di.ənt dɪˈsent]
英文的用法
In English, "gradient descent" is primarily used to refer to the specific algorithmic technique for optimization. It is commonly used in the context of machine learning algorithms and mathematical optimization.
英文例句
1. Gradient descent is a popular optimization algorithm used in training neural networks. (梯度下降是一种在神经网络训练中常用的优化算法。)
2. The algorithm iteratively updates the model parameters using gradient descent. (该算法通过梯度下降迭代更新模型参数。)
英文近义词
Alternative terms for "gradient descent" include "steepest descent" and "gradient-based optimization". (与梯度下降相近的词汇包括“最陡下降法”和“基于梯度的优化”。)
英文反义词
The antonym for "gradient descent" is "gradient ascent", where the algorithm seeks to find the maximum value of a function instead of the minimum. (与梯度下降相对的词汇是“梯度上升”，该算法寻找函数的最大值而非最小值。)
英文单词常用度
"Gradient descent" is a highly used term in the field of machine learning and optimization, especially in the context of neural network training. It is considered an essential concept and frequently encountered in relevant literature and discussions. Therefore, it can be categorized as a commonly used term. (在机器学习和优化领域，特别是神经网络训练的环境中，“gradient descent”是一个非常常用的术语。它被认为是一个重要的概念，在相关的文献和讨论中经常遇到。因此，可以将其归类为常用术语。)
注意：以上是翻译官的回答，由语言模型生成。