Examples of using 的优化问题 in Chinese and their translations into English
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微的多峰优化问题，具有多个局部极值点。
越深的神经网络通常会产生越难的优化问题.
Deeper neural nets often yield harder optimization problems.这是非常复杂的多目标的优化问题。
This is a very complex multi-objective optimization problem.另一个有趣的方向涉及解决复杂的优化问题。
Another intriguing direction involves solving complex optimization problems.这是非常复杂的多目标的优化问题。
This is a hard multi-criteria optimization problem.那么我们的最优化问题就变成了：.
So, our optimisation problem becomes:.接下来的拟合优化问题就是最小化。
解的优化问题。
Understanding of optimization problem.我们将演示如何把不确定性的优化问题。
We will demonstrate how to incorporate uncertainty into optimization problems.理论上，你可以解决大量的优化问题。
In theory, you could solve a large number of optimization problems.许多机器学习任务涉及解决复杂的优化问题，例如处理不可微分，非连续和非唯一的目标函数;
Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective functions;很多其他的优化问题也可通过最小化能量或最大化熵用最.
Many other optimization problems can also be expressed in a least squares form, either minimizing energy or maximizing entropy.另外，方法论要能利用分析模型来帮助企业解决数据存储的优化问题。
Additionally, the methodology shouldutilize analytic models to help solve optimization issues regarding data storage in general.很多其他的优化问题也可通过最小化能量或最大化熵用最小二乘形式表达。
Many other optimization problems can also be expressed in a least squares form, either minimizing energy or maximizing entropy.待求解的优化问题是一个带有对components的\(\ell_1\)惩罚项的PCA问题(字典学习,dictionarylearning):.
The optimization problem solved is a PCA problem(dictionary learning) with an penalty on the components:.此外，该方法应该利用分析模型来帮助解决有关数据存储的优化问题。
Additionally, the methodology shouldutilize analytic models to help solve optimization issues regarding data storage in general.从某些方面来说，Uber的网络也是一个巨大的优化问题，它利用机器学习来找出乘客需要汽车的地方。
Uber is in some respects a giant optimization problem, using machine learning to figure out where riders will need cars.合作协同进化已经引入协同进化算法，目的是通过分而治之的范式解决日益复杂的优化问题。
Cooperative co-evolution has been introduced into evolutionaryalgorithms with the aim of solving increasingly complex optimization problems through a divide-and-conquer paradigm.要解决的优化问题是：PCA问题（字典学习）在各主成分上带有一个罚项：.
The optimization problem solved is a PCA problem(dictionary learning) with an penalty on the components:.一旦电脑配备语义，它们将能够解决复杂的语义优化问题。
Once computers are equipped with semantics,they will be capable of solving complex semantical optimization problems.具体来说，量子计算影响金融服务行业的方式是解决复杂的优化问题，如投资组合风险优化和欺诈检测。
Quantum computing particularly helps in solving complex optimization problems such as portfolio risk 如果你想解决一个实际重要的优化问题，你需要以某种方式将该问题映射到上述拓扑结构。
If you want to solve a practically important optimization problem, you need to map it somehow onto that topology.从很大程度上来说，深度学习实际上是在解决大量烦人的优化问题。
Deep Learning, to a large extent,is really about solving massive nasty optimization problems.目标在本教程中，您将学习如何：当不可能线性分离训练数据时，定义SVM的优化问题。
Here you will learn how to define the optimization problem for SVMs when it is not possible to separate linearly the training data.直至最近，许多人相信训练深层架构是一个太过困难的优化问题。
Until recently, many believed that trainingdeep architectures was too difficult an optimization problem.利用设计用于处理从简单的描述性分析问题到最复杂的优化问题的单一平台，解决业务问题.
Solve your business 最著名的基于随机计算的网络是所谓的“玻尔兹曼”机器，它可以解决复杂的组合优化问题。
The most famous kind of network that operates based on stochastic computation is the so-called“Boltzmann” machine,which can solve difficult combinatorial optimization problems.如果你有一个模型可以概括肿瘤的生长和对治疗的反应，那么它就变成了一个经典的工程优化问题。
But if you have a model that can recapitulate how tumors grow and respond to therapy,then it becomes a classic engineering optimization problem.所以我们将会使用它来解决那些有一个或多个等式约束的优化问题。
So we can use it to solve some optimization problems: those having one or several equality constraints.
