What is the translation of " RECOGNITION MODELS " in Chinese?

• 识别模型

Examples of using Recognition models in English and their translations into Chinese

Modern object recognition models have millions of parameters and can take weeks to fully train.
现代物体识别模型有数百万个参数，可能需要数周才能完成训练。

Thanks to this RDA, Facebook likely has one of the best human image recognition models in the world.
得益于这种RDA应用，Facebook才拥有了世界上最好的人类图像识别模式(之一)。

Modern object recognition models have millions of parameters and can take weeks to fully train.
现代目标识别模型有数以百万计的参数，并可能需要花费数周的时间才能完全训练一个模型。

For example, the recent integration of NMR and MS with pattern recognition models has helped to drive biomarker discovery.
例如，最近NMR和MS与模式识别模型的集成有助于推动生物标志物的发现。

Text recognition models studied in literature predominantly focus on English or Latin alphabet data sets.
文献中研究的文本识别模型主要集中在英语或拉丁字母数据集上。

And by 2025, 50% of computer vision and speech recognition models will run on the edge(including endpoints).
此外，到2025年，将有50%的计算机视觉和语音识别模型在边缘（包括端点）上运行。

Cartography, Geoinformatics and remote sensing are separate fields of science, which engage in the creation of whole classes of localization character, communication-information and recognition models.
地图学，地理信息学和遥感是独立的科学领域，它们致力于创建整个类别的本地化特征，通信信息和识别模型。

That's why these speech recognition models are always being retrained with more data to fix these edge cases.
这就是为什么这些语音识别模型总是处于再训练状态的原因，它们需要更多的数据来修复这些少数情况。

In testing, the researchers found that the new approach trained video recognition models three times faster than the state of the art.
在测试中，研究人员发现，这种新方法训练视频识别模型的速度是现有方法的三倍。

Even supervised image recognition models that help prevent suicide can allow individuals to read the emotions of whom they speak to.
用于防止自杀的监督图像识别模型也可以让人们识别交谈对方的情感。

Indoor Scene Recognition: A very specific dataset, useful as most scene recognition models are better‘outside'.
IndoorSceneRecognition：非常具体的数据集，适用于大多数场景识别模型，因为后者在「外部」表现更好。

Moments used Facebook's image recognition models to let users create private photo albums with a select group, such as the people in a photo.
Moments使用了Facebook图像识别模型，能让用户创造面向选定组群开放的私人相册，比如，只对照片中的人公开。

The researchers have created a model that speeds up training for video recognition models, while also reducing the size of the models..
研究人员创建了一个模型，可以加快视频识别模型的训练速度，同时也可以缩小模型的大小。

Cloud Speech-to-Text comes with multiple pre-built speech recognition models so you can optimize for your use case(such as, voice commands).
CloudSpeech-to-Text带有多个预建的语音识别模型，让您可以针对自己的使用场景（例如语音指令）进行优化。

To achieve the lowest latency possible in Gboard, we convert our recognition models(trained in TensorFlow) to TensorFlow Lite models..
为尽可能降低Gboard中的延迟，我们将识别模型（在TensorFlow中训练）转换为TensorFlowLite模型。

To achieve the lowest latency possible in Gboard, we convert our recognition models(trained in TensorFlow) to TensorFlow Lite models..
为了将识别模型（在TensorFlow中训练）在Gboard中的延迟尽可能降至最低，我们将其转化为TensorFlowLite模型。

Massachusetts-based Nuance says it employs several methods to ensure its voice recognition models understand equally well speakers of the roughly 80 languages its products support.
总部位于马萨诸塞州的Nuance表示，该公司正在采用多种方法确保其语音识别模型能够以同样的准确率来识别大约80种语言。

Image recognition model developed for 300 products(in partnership with Neuromation).
开发300种产品的图像识别模型（与Neuromation合作）.

Figure 1 overall structure of RSC-nucleosome complex and the nucleosome recognition model.
图1RSC-核小体复合物的整体结构以及核小体识别模型.

Inception v3: An image recognition model, similar in functionality to MobileNet, that offers higher accuracy but also has a larger size.
Inceptionv3：图像识别模型，功能与MobileNet相似，它提供更高的精度，但相对来说更大。

Dr. Minh implemented a named-entity recognition model that can recognize nested named entities and received high praises from the conference committee.
Minh博士实施的命名实体识别模型可识别嵌套命名实体，获得会议委员会的高度评价。

At present, TensorFlow Lite supports a lot of training and optimization models for mobile terminals, including visual model, picture recognition model and device dialogue model..
目前，TensorFlowLite支持不少针对移动端训练和优化好的模型，包括视觉模型、图片识别模型和设备对话模型等。

If you do not know the details of BiLSTM and CRF, just remember they are two different layers in a named entity recognition model.
如果你不知道BiLSTM和CRF是什么，你只需要记住他们分别是命名实体识别模型中的两个层。

No one has really tried this before, training an automated speech recognition model on something as resource-constrained as Seneca.
之前没有人真正尝试过这种方法，在像塞内卡这样资源有限的东西上培训自动语音识别模型。

Inception v3: An image recognition model, similar in functionality to MobileNet, that offers higher accuracy but also has a larger size.
Inceptionv3:一个图像识别的模型，在功能上类似MobileNet，提供更高的精度同时也有较大的尺寸.

In a typical neural network we use to train our object recognition model, it has 24 million nodes, 140 million parameters, and 15 billion connections.
在一个用来训练「对象识别模型」的典型神经网络里，有着2400万个节点、1亿4千万个参数和150亿个联结。

In a typical neural network we use to train our object recognition model, it has 24 million nodes, 140 million parameters, and 15 billion connections.
在一个我们用来训练“对象识别模型”的典型神经网络里，有着2400万个节点，1亿4千万个参数，和150亿个联结。

An image recognition model build for Google Image Search, for example, might also help out the Google Maps team.
例如，为谷歌图像搜索而建的图像识别模型可能也对谷歌地图团队有帮助。