CLASSIFICATION PROBLEMS in Chinese translation

• 分类问题

Examples of using Classification problems in English and their translations into Chinese

One can train this surprisingly simple system to fit a given input set to its desired output, serving various supervised regression and classification problems.
人们可以修整这个超级简单的系统，用其将既定的输入量调整到其所需的输出量，并服务于各种监督回归和分类问题。

Any distance would work, the ordinary euclidian distance is fine but for classification problems one distance, called the"cross-entropy" is more efficient.
任何一种定义的距离都可以进行这样的操作，普通欧几里得距离是可以的，但是对于分类问题，被称为「交叉熵（cross-entropy）」的距离更加有效。

It is not only a classification problem, but also a timing problem..
这不仅是分类问题，也是确定时段问题。

It is not only a classification problem but also a timing problem..
这既是分类问题，也是时间问题。

Not every regression or classification problem needs to be solved with.
并非每个回归或分类问题都需要通过深度学习来解决。

Not only is it a classification problem, but it is also a timing problem..
这不仅是分类问题，也是记账时间问题。

In a classification problem, we are trying to predict discrete-valued outputs.
在分类问题中，我们尝试预测出离散的输出。

It is not only a classification problem, but also a timing problem..
这既是分类问题，也是记账时间问题。

Not every regression or classification problem needs to be solved with deep learning.
并非每个回归或分类问题都需要通过深度学习来解决。

With classification problem, is the accuracy index completely reliable?
对于分类问题，精度指标是否完全可靠?

This tutorial uses a neural network to solve the Iris classification problem.
本节将使用一个神经网络模型解决Iris分类问题。

This tutorial uses a neural network to solve the Iris classification problem.
本教程使用神经网络来解决鸢尾花I分类问题。

Schawinski undertook this classification problem with the enthusiasm of a graduate student.
Schawinski以研究生的热情承担了这个分类问题。

The Iris classification problem is an example of supervised machine learning: the model is trained from examples that contain labels.
鸢尾花分类问题是监督式机器学习的一个示例：模型通过包含标签的样本加以训练。

A few months ago I was trying to solve a text classification problem of classifying which news articles will be relevant for my customers.
几个月前，我试图解决文本分类问题，即分类哪些新闻文章与我的客户相关。

This means very simple problems where, say, the two classes in a classification problem can be neatly separated by a line.
也就是说非常简单的问题，例如，分类问题中可以被一行整齐地分隔开的两个类。

For the Iris classification problem, the model defines the relationship between the sepal and petal measurements and the predicted Iris species.
对于鸢尾花分类问题，该模型定义了萼片和花瓣测量与预测的鸢尾花物种之间的关系。

The Iris classification problem is an example of supervised machine learning: the model is trained from examples that contain labels.
Iris分类问题是一个有监督学习(supervisedmachinelearning)的示例，模型需要从带有标签的样本中进行学习。

Now, let us look at the second method to solve multi-label classification problem.
现在，让我们看一下解决多标签分类问题的第二种方法。

In short, there are multiple categories but each instance is assigned only one, therefore such problems are known as multi-class classification problem.
简而言之，有多个类别，但每个实例只分配一个，因此这些问题被称为多类分类问题。