Examples of using 训练模型 in Chinese and their translations into English
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在AI领域，研究人员正用大量数据训练模型，以便机器能够在新数据到来时进行预测。
In AI, researchers train models with lots of data so that machines are capable of making predictions as new data arrive.陈说，这很重要，因为在数据上编译数据和训练模型既昂贵又耗时。
That's important, Chen says, because compiling data and training models on the data can be expensive and time-consuming.训练结束后，Ludwig创建一个结果目录，其中包含了训练模型机器超参数和训练过程的汇总统计信息。
After training, Ludwig creates a result directory containing the trained model with its hyperparameters and summary statistics of the training process.我们为维基数据中的大部分（572）关系训练模型，并在所有模型中实现平均0.70F1测量。
We train models for a large portion(572) of the relations within Wikidata and achieve an average 0.70 F1 measure across all 仿真以关键角色出现的另一个应用是机器人技术：用真正的机器人去训练模型不仅慢，而且训练成本也很昂贵。
Another area where learning from simulations is key is robotics: Training models on a real robot is too slow and robots are expensive to train.我们也开源了网络，并提供了完整的训练与测试数据、训练模型检查点和示例代码。
We also open sourced our network, along with the complete training and test data, a trained model checkpoint, and example code.AzureMLStudio让用户可以创建和训练模型，然后将它们变成可以被其他服务使用的API。
Azure ML Studio allows you to create and train models, turn them into APIs to provide other services.软件开发人员将花费更少的时间编写代码，并花更多时间训练模型。
Software developers will be spending less time writing code and more time training models.Studio允许微软Azure的用户创建和训练模型，随后将这些模型转化为能被其他服务使用的API。
Azure ML Studio allows users to create and train models, then turn them into APIs that can be consumed by other services.这个产品需要考虑到数据捕获、准备、训练模型和预测。
This product will need to take into account the data lifecycle of capturing data, preparing it, training models and predicting.轻松创建和训练模型，在您的app中实现更智能的功能。
Easily create and train models to deliver more intelligent functionality in your apps.最后，奖励不仅很丰富，它也体现了我们训练模型时关心的是什么。
Finally, not only is the reward rich, it's actually what we care about when we train models.但人工智能正开始蔓延到其他大型企业，这些企业将训练模型来分析和处理大量输入数据。
But AI is starting to spread to other large enterprises, which will train models to analyze and act upon huge bodies of input data.但因为这是一种非常常用的模式，所以PyTorch配备了几个内置函数和类，让人能很轻松地创建和训练模型。
But since this such a common pattern, PyTorch has several built-in functions and classes to make it easy to create and train models.因此，许多开发人员需要整理数据，训练模型，并分析模型的结果。
Thus, many developers will need to curate data, train models, and analyze the results of 你的应用程序可以快速分析图像，准确地分类视觉内容，并且可以使用WatsonServices轻松地训练模型。
Your apps can quickly analyze images, accurately classify visual content, and easily train models using Watson Services.现在，你可以使用新的CreateML框架在Mac上轻松地建造和训练模型，不需要机器学习专业知识。
And now, you can easily build and train models using the new Create ML framework, with no machine learning expertise required.这种服务器将同样在2019年二季度推出，帮助开发者更快地训练模型。
This kindserverIt will also be launched in the second quarter of 2019 to help developers train models faster.通过组合这些特定于数据类型的组件，用户可以在各种任务上构建Ludwig训练模型。
By composing these data type-specific components, users can make Ludwig train models on a wide variety of tasks.许多RL应用程序在游戏或虚拟环境中在线训练模型，模型能够反复地与环境进行交互。
Many of the RL applications online train models on a game or virtual environment where the 
