What is the translation of " 模型 参数 " in English?

• model parameters
• model parameter

Examples of using 模型 参数 in Chinese and their translations into English

SPICE模型由两部分组成：模型方程式和模型参数。
The SPICE model consists of two parts: Model Equations and Model Parameters.

为什么后两个网络可以显著减小模型参数尺寸？?
How do the latter two network architectures significantly reduce the model parameter size?

可以通过成员coef_和intercept_访问模型参数：.
The model parameters can be accessed through the members coef_ and intercept_:.

这些因素导致了对模型参数深刻的认知不确定性。
These factors lead to profound epistemic uncertainty about model parameters.

模型参数可以通过成员coef_和intercept_来获得：.
The model parameters can be accessed through the members coef_ and intercept_:.

模型参数可以通过coef_和intercept_来访问：.
The model parameters can be accessed through the members coef_ and intercept_:.

对于鲜为人知的模型参数通常进行历史匹配调整。
History matching adjustments are typically made to the model parameters about which least is known.

模型超参数和模型参数有什么区别？StackExchange-WEB.
What is the difference between model hyperparameters and model parameters? on StackExchange.

模型参数的统计信息可以用几种方法定义。
Information of a statistic on model parameters can be defined in several ways.

我们使用这个方法来优化模型参数。
The method was used to optimize the parameters of the model.

我们使用这个方法来优化模型参数。
This time period is used to optimize the model's parameters.

此功能将加速最重要的培训任务之一：无论何时更新模型参数，都需要在多个服务器之间重新同步输入权重。
This capability will accelerate one of the most important training tasks: the need to resynchronize input weights among multiple servers whenever model parameters are updated.

这种类型的模型参数被称为调整参数，因为没有可用的分析公式来为其计算一个合适的值。
This type of model parameter is referred to as a tuning parameter because there is no analytical formula available to calculate an appropriate value.

找到模型参数的常见选择是通过最小化给出的正则化训练误差.
A common choice to find the model parameters is by minimizing the regularized training error given by.

这通常用于注册不应被视为模型参数的缓冲区。
This is typically used to register a buffer that should not to be considered a model parameter.

根据这些模型参数，我们返回并更新隐变量的值，等等。
Based on these model parameters, we go back and update the values for the latent variable, and so on.

DenseNet论文中提到的一个优点是模型参数比ResNet的更小，这是为什么？
One of the advantages mentioned in the DenseNet paper is that its model parameters are smaller than those of ResNet.

准备数据和选择模型参数是任何数据科学家工作的关键部分。
Preparing data and selecting the model parameters is a key part of any data scientist's job.

这种调整初步模型参数的过程是必要的，但主观性很强。
This process of adjusting initial model parameters is necessary but is highly subjective.

模型参数是模型在训练期间学习的内容，例如线性回归中的权重。
Model parameters are what the model learns during training, such as weights in a linear regression.

第二个优点是模型会更高效，即模型参数会随过滤器分组数的增大而减少。
The second advantage is the model is more efficient, i.e. the model parameters decrease as number of filter group increases.

通常需要修改数据预处理和模型参数，直到结果达到所需的属性。
It is often necessary to modify data preprocessing and model parameters until the result achieves the desired properties.

电文包含有系统时间、时钟改正参数、电离层延迟模型参数、卫星星历及卫星健康状况等。
This message contains system time, clock correction parameters, ionospheric delay model parameters, and the space vehicle's ephemeris and health.

我们的方法往往能提升所有相关语言对的翻译质量，同时还能保持总的模型参数恒定。
Our method often improves the translation quality of all involved language pairs, even while keeping the total number of model parameters constant.

使用数据拆分，以形成一个单独的数据集，用于估计模型参数，另一个用于验证预测。
Use data splitting to form a separate dataset for estimating model parameters, and another for validating predictions.

总而言之，模型参数是从数据中自动估计的，而模型超参数是手动设置的，并用于估计模型参数的过程。
Model parameters are estimated from data automatically and model hyperparameters are set manually and are used in processes to help estimate model parameters.

在线性回归中，数据使用线性预测函数来建模，并且未知的模型参数也是通过数据来估计。
In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data.

正如前文所指出，储油层模拟模型通过调整渗透率等初步模型参数来实现与已测出压力的历史配匹。
As noted earlier, reservoir simulation models are history matched against measured pressures through a process of adjusting initial model parameters such as permeability.

该算法迭代训练示例，并且每个示例根据由给出的更新规则来更新模型参数.
The algorithm iterates over the training examples and for each example updates the model parameters according to the update rule given by.

在该等式中，y_hat是预测结果，x_i是输入，并且theta_i是模型参数或权重。
In this equation y_hat is the predicted outcome, x_i are the inputs and theta_i are the model parameters or weights. theta_0 is the bias.