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gradient descent

/ˈɡreɪdiənt dɪˈsent/
  • 梯度下降:一种一阶迭代优化算法,用于寻找可微函数的局部最小值。

双语例句

  1. The delta rule is based on the idea of gradient descent.
    而delta规则是基于梯度降落这样一种思路。
  2. This paper studies BP network, realizes the method of gradient descent, gets better result than traditional one.
    本文研究了BP网络,实现了“梯度下降法”的网络训练方法,获得了较传统方法好的效果。
  3. This paper researches the application of the stochastic parallel gradient descent (SPGD) optimization algorithm on the beam cleanup system.
    就随机并行梯度下降(SPGD)最优化算法在光束净化系统中的应用展开研究。

网络短语

  • Stochastic gradient descent
    随机梯度下降;随机梯度下降法
  • Gradient Descent Algorithm
    梯度下降法;算法;梯度下降计算
  • gradient descent method
    梯度下降法
  • Gradient descent intuition
    梯度下降直观解释
  • Gradient descent for multiple variables
    梯度下降在多变量线性回归中的应用;多元的函数的梯度下降;多变量梯度下降

英英释义

  • Gradient descent is a first-order optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or of the approximate gradient) of the function at the current point.