模型性能

时间：2024-03-12 13:20:56|栏目：ASP.NET|点击：次

中文

阿拉伯语德语英语西班牙语法语希伯来语意大利语日语朝鮮語荷兰语波兰语葡萄牙语罗马尼亚语俄语瑞典语土耳其语乌克兰语中文

显示更多 (希腊语, 印地语, 泰语, 捷克语...)

捷克语丹麦语希腊语波斯语印地语匈牙利语斯洛伐克语泰语

Show less

英语

同义词阿拉伯语德语英语西班牙语法语希伯来语意大利语日语朝鮮語荷兰语波兰语葡萄牙语罗马尼亚语俄语瑞典语土耳其语乌克兰语中文

显示更多

捷克语丹麦语希腊语波斯语印地语匈牙利语斯洛伐克语泰语

Show less

基于您的搜索，例句可能包含粗俗单词。

基于您的搜索，例句可能包含口语词。

模型性能

model performance

model capabilities

此模型适用于需要高精度语义表示以及要求以速度和大小为代价获得最佳模型性能的场景。

It targets scenarios requiring high precision semantic representations and the best model performance at the cost of speed & size.

利用随带的性能工具分析模型性能

Analyze model performance with the included performance tools

审视模型性能也许是选择仿真模型最重要的方面

review of model capabilities is probably the most important aspect of selecting a simulation model

在选择模型时，需要考虑以下条件：模型性能、数据的可获取性、易操作性、所需资源、模型的应用及其过去的性能、验证与标定

the following criteria are considered in selecting a model: model capabilities, data availability, ease of use, required resources, model applications and past performance, and validation and calibration

为什么你还是不满意你的模型性能？你可以做些什么呢？

Why shouldn't you be happy with your model performance? What can you do about it?

通过监控和测试模型性能并适时更新，确保模型的持续有效性。

Then ensure their ongoing validity by monitoring and testing model performance, and updating them as needed. Manage your marketing organization's performance.

重要的功能升级包括：自动化机器学习可以找到最有效率的算法并优化模型性能，新增面向FPGA的硬件加速模型，Python SDK 让 Azure 机器学习服务可以通过流行的集成开发环境和笔记本进行访问。

Significant new updates to the service include automated machine learning to identify the most efficient algorithms and optimize model performance, additional hardware-accelerated models for FPGAs, and a Python SDK that makes Azure Machine Learning services accessible from popular IDEs and notebooks.

批次生产的产品进行实际测试，确保模型性能优良。

models better, they'll test R&D product and each shipment products practically.

JMP的公式存储提供了一种比较和对比竞争模型性能的便捷方法。

JMP's Formula Depot provides an easy way to compare and contrast the performance of competing models.

用某些关键特性评价模型性能，如路网规模、路网描述、交通描述、交通组成、交通运行、交通控制以及模型输出

some key features can be used to evaluate a model's capabilities, such as size of network, network representation, traffic representation, traffic composition, traffic operations, traffic control, and model output

这就说明了在SLM-CIR模型中，分词技术不是影响模型性能的关键因素。

This has proved that in SLM-CIR model, the technology of the word segmentation is not a key factor of influencing the performance of models.

试验模态分析通常用于设计过程，用来验证和更新FEA的数学模型。它也可以用于生成为了某个问题而修改后的结构模型或者验证设计模型性能。

Experimental modal analysis is often used in the design cycle to verify and update FEA mathematical models. It can also be used for generating a new structural model for modification of a particular problem or verifying design structural performance.

接下来，我们使用验证集测试模型性能。具体而言，比较验证集上模型预测的结果与真实结果，输出预测正确的样本数占总样本数的比例：

Then, we will use the validation dataset to examine the performance of this model. To be specific, we will compare the predictions with the answers on the validation dateset, and output the ratio of correct predictions

自信而准确地估计模型性能

Advanced attribute weighting capabilities.

本文以宾州中文树库为实验语料，考查了不同规模的标注数据对模型性能的影响，实验结果表明，本文提出的无监督词性标注方法提高了中文词性标注的性能。

Experiments on Chinese TreeBank from different training set size are made. It shows that our approach improves the accuracy of POS tagging over the four training sets with different sizes.

未找到该义项

上一篇：抖音开商品橱窗好做吗？

栏目：ASP.NET

下一篇：孕妇吃什么水果好？这几种水果别错过

本文标题：模型性能

本文地址：http://www.chang365.com/index.php?m=home&c=View&a=index&aid=296

更多ASP.NET

ASP.NET

模型性能

您可能感兴趣的文章

阅读排行

推荐教程