的学习模型 - 翻译成英语

• learning models
• learning model

在 中文 中使用 的学习模型 的示例及其翻译为 英语

它让你能够轻松高效地建构、评估和布署引擎，实施自己的机器学习模型，并将它们整合到引擎中。
It enables you to easily and efficiently build, evaluate and deploy engines, implement your own machine learning models, and incorporate them into your engine.

幸运的是，有很多公开可用的数据集可以用来训练他们的机器学习模型。
Luckily for his team, there are plenty of publicly available datasets that can be used to train their machine learning model.

使用通过云提供的广泛的按需资源，您可以部署几乎无限的资源来处理任何规模的深度学习模型。
With the wide range of on-demand resources available through the cloud, you can deploy virtually unlimited resources to tackle deep learning models of any size.

本文将分享8个经过证实的方法，使用这些方法可以建立稳健的机器学习模型。
In this article, I have shared the 8 proven ways using which you can create a robust machine learning model.

TensorFlow的灵活架构使我们能够在一个或者多个CPU（以及GPU）上部署我们的深度学习模型。
The flexible architecture of TensorFlow enables users to deploy deep learning models on one or more CPUs(as well as GPUs).

利用深度学习技术，计算机科学家建立软件模型可以在一定程度上模拟人类大脑的学习模型。
With deep learning, computer scientists build software models that simulate- to a certain extent- the learning model of the human brain.

AmazonSageMaker包含一些可一起或单独使用的模块以构建、训练和部署您的机器学习模型。
Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models.

但是要提取有关组织学等级或癌细胞生长的信息，将需要训练一个单独的深度学习模型。
But extracting information on the histological grade, or growth of cancer cells, would require training a separate deep learning model.

机器人利用从原始摄像头观察的学习模型来自学如何避开障碍物，并在障碍物周围推动物体。
Robots use the learned model from raw camera observations to teach themselves how to avoid obstacles and push objects around obstructions.

要做到这一点，你将需要使用正确的深度学习模型，即基于机率方法的模型。
To do this, you need to use the correct depth learning model, model based on probabilistic method.

请注意，我们需要拥有大量数据，才能使用具有三个、四个或更多基准特征列的组合学习模型。
Note that it takes massive amounts of data to learn models with crosses of three, four, or more base feature columns.

书中有详细的示例和现实世界的用例，并探索常见的机器学习模型，包括推荐系统，分类，回归，聚类和降维。
There are detailed examples and real-world use cases for you to explore common machine learning models including recommender systems, classification, regression, clustering, and dimensionality reduction.

最近，Google的GroundTruth团队发布了一个新的深度学习模型，用于从带有地理定位信息的图像文件中自动抽取信息，以改进Google地图服务。
Google's Ground Truth team recently announced a new deep learning model for the automatic extraction of information from geo-located image files to improve Google Maps.

基于字符n-gram的深度学习模型在一定程度上解决了这个问题，但它仍然是英语和世界上许多语言之间的一个重要区别。
(Character n-gram based deep learning models level this problem somewhat, but it remains an important difference between English and many of the world's languages.).

为了开发一个强大而准确的机器学习模型，我们可以使用从研究数据、患者人口统计、医疗健康记录和其他来源收集的数据。
To develop a strong and more accurate machine learning model, we can use data collected from studies, patient demographics, medical health records, and other sources.

但是如果你没有好的数据，你需要很好的学习模型。
But if you don't have good data, you do need good learning models.

为了证明这一点，他们训练了一个深入的学习模型来识别手写数字。
To demonstrate it they trained a deep learning model to recognize handwritten numerals.

一旦选中最精确的学习模型，便可以使用它为“成熟度”系统生成一个UdooSvm算法。
Once the most accurate learning model has been selected, it can be used to generate a UdooSvm algorithm for the"ripeness" system.

该程序基于基于应用程序的学习模型，在该模型中，学生将获得核心科目的知识。
This programme is based on the application-based model of learning in which students will gain knowledge of the core subjects.-.

评估和评估一系列基于技术的学习模型，并整合有效技术的使用以支持学习者的成功。
Evaluate and assess a range of technology-based learning models and integrate the use of effective technologies in supporting learner success.