归一化 英语是什么意思 - 英语翻译 S

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在 中文 中使用 归一化 的示例及其翻译为 英语

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图3B显示了归一化后基底回波功率的区域图;.
Figure 3B shows aregional map of basal echo power after normalization;
由于归一化,假定a(1)=1。
Due to normalization, assume a(1)= 1.
其他的归一化选择会提供其他值,所以从这个意义上来说,模态质量并没有真正的物理意义。
Other choices of normalization give other values, so the modal mass in this sense does not really have a physical meaning.
批量归一化通常在卷积层之后,在激活函数(在YOLO中叫做”泄露“的Relu)生效之前。
Batch normalization usually happens after the convolutional layer but before the activation function gets applied(a so-called“leaky” ReLU in the case of YOLO).
每个单独的令牌发生频率(归一化或不归零)被视为一个特征。
Each individual token occurrence frequency(normalized or not) is treated as a feature.
归一化要求您知道或能够准确地估计最小和最大可观察值。
Normalization requires that you know or are able to accurately estimate the minimum and maximum observable values.
无论处理器数量多少,所有处理器的组合容量都被视为100%,这被称为归一化
The combined capacity of all the processors is counted as 100% regardless of the number of processors,and this is known as normalized.
对于归一化,这意味着训练数据将用于估计最小和最大可观察值。
For normalization, this means the training data will be used to estimate the minimum and maximum observable values.
但应注意的是,在这些函数中的峰值强度被归一化
It should be noted thatpeak intensity in these functions has been normalized.
归一化计算让不同规模的机构能在同一基础上进行比较。
The normalization calculation allows institutions of different size to be compared on the same basis.
用航天器再入大气层和气动热碎裂方法对依赖于归一化攻角的加热率作了合理预测。
The heating rate, which is dependent on the normalized angle of attack, are reasonably predicted with SCARAB methods.
归一化是从原始范围的数据重新缩放,使得所有的值都在0到1的范围之内。
Normalization is a rescaling of the data from the original range so that all values are within the range of 0 and 1.
由于归一化大大降低了少数边际输入的能力,从而过度影响训练,所以也趋于减少过度训练。
Because normalization greatly reduces the ability of a small number of outlying inputs to over-influence the training, it also tends to reduce overfitting.
对于归一化,这意味着训练数据将被用来估计最小和最大的可观测值。
For normalization, this means the training data will be used to estimate the minimum and maximum observable values.
虹膜图像归一化:将图像中的虹膜大小,调整到识别系统设置的固定尺寸。
Iris image normalization: The iris size in the image is adjusted to the fixed size of the recognition system settings.
您可能需要考虑的系列有两种缩放方式:归一化和标准化。
There are two types ofscaling of your data that you may want to consider: normalization and standardization.
它也不适合跟踪数据集中对每个样本进行的变换,例如矩阵乘法或归一化
And it is ill-suited for tracking transformations that change every item in a data set,such as a matrix multiplication or normalization.
归一化或者数据转换意味着新变量的定义域将限定在0和1之间。
Normalizing or transforming the data means that the new scale variables will be between zero and one.
归一化向量意味着在保持其方向的同时将其长度减少到1。
Normalizing a vector means reducing its length to 1 while preserving its direction.
为了可视化,传感器信号在弯曲后立即归一化为最大值(称为阶跃函数60°)。
For visualization, sensor signals were normalized to the maximum value(termed as the step function for 60°) immediately after bending.
默认情况下,应该始终包含批量归一化,所有现代神经网络都这样做,因为:.
By default, you should always include batch normalization, and all modern neural networks do so because:.
在神经网络的案例中,归一化对于最终运行结果本身来说并不重要,但是它能够加快训练速度。
In the case of the neural networks, normalization is not important for the final performance results per se, but it speeds up the training.
我们再次应用归一化,这样我们的约束实际上为1\leB_z/B_0\le1,如下图所示。
We again apply a normalization such that our constraint is actually 1\le B_z/B_0 \le 1, as shown in the image below.
这里针对密度选择了归一化(对应于离散情况的质量矩阵缩放),但这不是必需的。
Here, the normalization has been chosen with respect to the density(corresponding to mass matrix scaling in the discrete case), but this is not necessary.
在此图中,中心频率的增益归一化为1(0dB)。
In this figure, the gain at the center frequency is normalized to 1(0 dB).
与此同时,Pedro讨论了这些数据的正态性、同方差性、线性度和无相关误差,他将数据归一化,并发现其他三个问题也得到了很好的解决。
Meanwhile, Pedro discusses Normality, Homoscedasticity, Linearity,and Absence of correlated errors; he normalizes the data and discovers that the other three are resolved as well.
基于线性关系,文艺复兴时期的透视法将一个视角归一化为一个集中的、单眼的、静态的实体存在于一个数学上的、同质的空间中。
Based on linear perspective, Renaissance perspective had normalized a viewing position as a centered, one-eyed static entity within a mathematical, homogenous space.
如果你进行了一些长度归一化.
And if you are using some sort of length normalization.
曲线在外观上进行归一化以帮助材料之间进行比较。
The curves are normalized in appearance to aid making comparisons among materials.
结果: 29, 时间: 0.0244

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