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模型参数英文解释翻译、模型参数的近义词、反义词、例句

英语翻译:

【计】 model parameter
【化】 model parameter

分词翻译:

模型的英语翻译:

former; matrix; model; mould; pattern
【计】 Cook-Torrance model; GT model GT; MOD; model; mosel
【医】 cast; model; mold; mould; pattern; phantom
【经】 matrices; matrix; model; pattern

参数的英语翻译:

parameter
【计】 argument
【医】 parameter
【经】 parameter

网络扩展解释

模型参数

模型参数的中文拼音是mó xíng cān shù,表示用于描述和控制模型性质或行为的数值。在计算机科学和机器学习中,模型参数通常是指模型的可调整部分,这些部分可以通过训练数据进行学习和优化。

英语解释翻译

The English translation of 模型参数 is "Model Parameters". It refers to the numerical values used to describe and control the properties or behaviors of a model. In computer science and machine learning, model parameters typically refer to the adjustable components of a model that can be learned and optimized through training data.

英文读音

The English pronunciation of "model parameters" is /ˈmɒdəl pəˈræmɪtərz/.

英文的用法(中文解释)

In the field of computer science and machine learning, model parameters are key components that play a critical role in the performance and effectiveness of a model. They are used to describe and control the properties or behaviors of the model, and can be fine-tuned and optimized through methods such as gradient descent and backpropagation in order to maximize the model's predictive accuracy.

英文例句(包含中文解释)

Example 1: The model's hyperparameters, such as the learning rate and regularization strength, can greatly impact the performance of the model by affecting the values of the model parameters.(例如1:模型的超参数,例如学习率和正则化强度,可以通过影响模型参数的值来极大地影响模型的性能。)

Example 2: To train a deep neural network, we must first initialize the model parameters and then adjust them through backpropagation in order to minimize the loss function.(例如2:要训练一个深度神经网络,我们必须先初始化模型参数,然后通过反向传播来调整它们以最小化损失函数。)

英文近义词(包含中文解释)

Similar terms in English include "weights", which specifically refer to the parameters in a neural network that control the strength and influence of each neuron's input, and "coefficients", which refer to the numerical values that are multiplied with the input features in a regression or classification model.(英文近义词包括“权重”,特指神经网络中控制每个神经元输入强度和影响的参数,“系数”则是指在回归或分类模型中与输入特征相乘的数值。)

英文反义词(包含中文解释)

The opposite of "model parameters" would be "fixed or static model characteristics", which refers to aspects of the model that cannot be adjusted or optimized through training data, such as the model architecture or the choice of activation functions.(“模型参数”的对立面将是“固定或静态模型特征”,指的是无法通过训练数据进行调整优化的模型方面,例如模型架构或激活函数的选择。)

英文单词常用度

According to Google's Ngram Viewer, the usage frequency of "model parameters" has been steadily increasing since the 1980s, and is currently at its highest point in history.(根据Google的Ngram查看器显示,“model parameters”的使用频率自20世纪80年代以来一直在稳步增长,目前处于历史最高点。)

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