What is the translation of " THE OBJECTIVE FUNCTION " in Chinese?

• 目标函数

Examples of using The objective function in English and their translations into Chinese

We redefine the objective function as.
我们将目标函数改写为：.

The objective function is transformed into.
由此目标函数转化为.

We can rewrite the objective function as.
可以将目标函数重写为.

The objective function of a poker bot is just as simple: Win lots of money.
扑克机器人的目标功能非常简单:赢得大量资金。

Then change it in this direction to improve the objective function.
然后在这个方向上改变它来改善目标函数。

Then, the objective function(27) can be expressed as.
于是式(7)的目标函数可表示为.

Traditionally, optimization algorithms usually only consider minimizing the objective function.
依据惯例，优化算法通常只考虑最小化目标函数。

What I learned: setting the objective function and constraints is hard.
从中我了解到：创建目标函数以及设定限制条件很难。

The objective function of the deep learning model may have several local optimums.
深度学习模型的目标函数可能有若干局部最优值。

What I learned: setting the objective function and constraints is hard.
从中我学到的是：设定目标函数和约束条件异常困难。

We just have to figure out how it gets the gradient and what the objective function is.”.
我们只需要弄清楚它是如何得到梯度的，以及目标函数是什么。

For a Neural Nets, the objective function has the form of a composition.
对于一个神经网络，其目标函数是组合形式。

But then, once you move a little bit you find out that the objective function is increasing again.
但随后你发现，一旦再移动一丁点儿目标函数都会继续增长。

The objective function and constraints are all linear functions of the decision variables.
目标函数和所有的约束条件都是设计变量的线性函数.

The function we want to minimize or maximize is called the objective function or criterion.
我们把要最小化或者最大化的函数称为目标函数或准则。

The solution where the objective function is maximized or minimized is known as optimal solution.
其中使目标函数取得最大值或最小值的可行解叫做这个问题的最优解。

Using the standard Tikhonov regularization method[3], the objective function becomes as follows:.
之后选择Tikhonov正则化方式[6]，目标函数变成了：.

The objective function and constraints are all linear functions of the decision variables.
线性规划目标函数和所有的约束条件都是决策变量的线性函数。

Training the model is the process of adjusting the parameters to maximize the objective function.
培训模型是调整参数的过程，以最大限度地发挥目标函数。

In this notation, is called the objective function(it is also sometimes called the cost function)..
在标准式中，f称为目标函数（有时也称为损失函数）。

We are seeking to minimize the error, which is also known as the loss function or the objective function.
我们正在寻求最小化的误差，这也被称为损失函数或目标函数。

Thus the objective function(7.21) can be written(up to an overall multiplicative constant) in the form N.
因此目标函数（7.21）可以写成（忽略整体的具有可乘性的常数）.

As you can not move right or left anymore without increasing the objective function, you conclude this point is the minimum.
由于不能在不增加目标函数的情况下左右移动，你得出结论，这一点是最小的。

That's why the objective function in ML tends to be called a“loss function” and the goal is to minimize loss.
ML中的目标函数倾向于称为「损失函数」，目标是最小化损失。

In mathematics, linear programming problems are optimization problems in which the objective function and the constraints are all linear.
在数学中，线性规划问题是目标函数和约束条件都是线性的最优化问题。

That's why the objective function in ML tends to be called a“loss function” and the goal is to minimize loss.
这就是为什么机器学习中的目标函数被称为“损失函数”，目的就是要尽量减少损失。

This novel topology optimization strategy can be expanded to a more general 1D method, where pressure can be used directly in the objective function.
这种新颖的拓扑优化策略可以扩展到更加普遍的一维方法中，使声压可以直接使用在目标函数中。

We can even change the objective function to other core game metrics of interest, such as play time, retention, or spending.
我们甚至可以将目标函数转换为其他核心游戏数据，例如游戏时长，留存时间或付费。

In mathematics, linear programming(LP) problems are optimization problems in which the objective function and the constraints are all linear.
在数学中，线性规划（LinearProgramming，简称LP）问题是目标函数和约束条件都是线性的最优化问题。

This makes the objective function more stable w. r. t. the model parameters, and helps propagate the training signal for first-order optimization methods.
这种结构使得关于模型参数的目标函数更加稳定，帮助传播对于优化方法来说最重要的训练信号.