What is the translation of " DATA AUGMENTATION " in Chinese?

• 数据增强
• 数据增加
• 数据扩充

Examples of using Data augmentation in English and their translations into Chinese

Data Augmentation.
数据增强.

This essentially is the premise of data augmentation.
这本质上是数据增强的前提。

Data augmentation means increasing the number of data points.
数据扩充表示增加数据点的数量。

Realizing you need more or different data augmentation.
明确需要更多或不同的数据扩充.

Simply put, data augmentation just alters each batch of our images.
简而言之，数据集增广只是改变了我们每一批图像。

It's a process we call data augmentation.
这个过程我们称之为数据增强（dataaugmentation。

So these data augmentation schemes are, in effect, computationally free.
所以这些数据增强机制实际上是计算自由的。

C10+ and C100+ columns are the error rates with data augmentation.
C10+和C100+列是数据增强的错误率。

The catch is, one will not use data augmentation, whereas the other will.
问题是，一个不会使用数据增加，而另一个则不会。

Via data augmentation, where the data is augmented with linguistic categories;
B）通过数据增强，用语言类别对数据进行扩充；.

We had no choice but to rely on data augmentation for two reasons: time and accuracy.
我们别无选择，只能依靠数据扩充，原因有两个：时间和准确性。

This is useful to mitigate overfitting(you could see it as a form of random data augmentation).
这对缓解过拟合很有用（你可以将其视为随机数据增强的一种形式）。

In general, data augmentation is always a good idea to reduce overfitting.
一般来说，数据集增广总是减少过度拟合的好主意。

To counter this, we performed the shuffling and data augmentation techniques.
为防止过拟合，我们使用dropout和extensivedataaugmentation技术。

So these data augmentation schemes are, in effect, computationally free.
因此，实际上这些数据增强方案是计算免费的。

That is to say, when the model meets the same training image again, it will randomly produce another αi for data augmentation.
也就是说，当训练模型再次遇到同一张图像时，它会随机产生一个新的用于数据扩增。

As we can see, using data augmentation a lot of similar images can be generated.
如上图所示，使用数据增强可以生成多幅相似图像。

The algorithm not only searches for the best network topology, but also tunes hyper-parameters(e.g., learning or data augmentation parameters).
该算法不仅搜索最优的网络拓扑（networktopology），而且还对超参数(如学习或数据扩充参数)….

(Data augmentation, in particular, is very costly and, judging from humans, should not be necessary.).
特别是数据增强，是非常昂贵的，人类并不需要这一点。

And(3) identifying the open challenges to data augmentation techniques, such as generative adversarial networks.
确定了开放的挑战数据增强技术，如生成性对抗网络。

(Data augmentation, in particular, is very costly and, judging from humans, should not be necessary.).
数据增强的成本非常高，而在人类看来，这应该不是必需的。

They internally use transfer learning and data augmentation to provide the best results using minimal data..
他们在内部使用迁移学习和数据扩充，以使用最少的数据提供最佳结果。

Data augmentation or other kinds of noise can also act as regularization just like dropout does.
数据增加或其他类型的noise也可以像dropout一样进行正则化。

Approaches that alter the training data in ways that change the array representation while keeping the label the same are known as data augmentation techniques.
以改变数组表示的方式改变训练数据的方法，同时保持标签相同，称为数据扩展技术。

The second form of data augmentation consists of altering the intensities of the RGB channels in training images.
第2种数据增强的方式是改变训练图片上RGB通道的强度。

Porter, Verdery, and Gaddis(2016) offer examples and advice focused specifically on uses of microtask labor markets for what they call“data augmentation.”.
Porter,Verdery,andGaddis(2016)提供了专门针对微任务劳动力市场的使用的示例和建议，他们称之为“数据增加”。

In my latest project, we used data augmentation techniques to increase the number of images in our dataset.
在笔者的最新项目中，我们使用数据扩充技术来增加数据集中的图像数量。

We present EDA: easy data augmentation techniques for boosting performance on text classification tasks.
我要向你介绍EDA（EasyDataAugmentation）：用于提升文本分类任务表现的简单数据增强技术。

Reusing data is a bad idea, and data augmentation is useful to some extent, but having more data is always the preferred solution.
重用数据是一个坏主意，数据增加在某种程度上是有用的，但拥有更多数据始终是首选解决方案。

Reusing data is a bad idea, and data augmentation is useful to some extent, but having more data is always the preferred solution.
重复使用数据是不好的想法，一定程度上数据增强是有用的，但是有更多的数据往往是更好的解决方法。