Examples of using Normalization in Chinese and their translations into English
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为什么要做Normalization.
这种做法通常被叫做normalization。
This is typically called normalization.Batchnormalization可以让训练结果更稳定。
Batch normalization allows for faster training.DataNormalization使所有特征均等加权。
Normalization data attempts to give equal weight to all attributes.什么是DataNormalization以及为什么我们需要它？?
What is database normalization and why is it done?BatchNormalization：通过减少内部协变量转变加速深度网络训练.
Batch normalization: accelerating deep network training by reducing internal covariate shift.在每一个卷积层之后，激活层之前均使用batchnormalization。
We used Batch Normalization before the activation.什么是DataNormalization以及为什么我们需要它？?
数据库范式(databasenormalization)消除了冗余数据，提高了存储效率。
Database normalization eliminates redundant data, which makes storage efficient.小写转换和标点移除是两个最常见的文本Normalization步骤。
Lowercase conversion and punctuation removal are the two most common text normalization steps.人们已开发出多种时间序列数据操作方法，但最常用的方法是Z-Normalization。
A variety of techniques have been developed for time series data manipulation, but one of the most common is called Z-Normalization.这种特定的策略（tokenization/counting/normalization）被称为词袋（BagofWords）或者”Bagofn-grams”表示。
This specific strategy(tokenization, counting and normalization) is called the Bag of Words or“Bag of n-grams” representation.Batchnormalization是一个用于优化训练神经网络的技巧。
Batch normalization is a technique for making neural networks easier to train.DataNormalization使所有特征均等加权。
BatchNormalization是训练神经网络模型的一种有效方法。
Batch Normalization is an effective method when training a neural network model.什么是DataNormalization以及为什么我们需要它？?
What is data normalization and why do we need it?这个也叫作normalization。
That's called normalizing.两种等价方式带来四种normalizationform.
These two equivalences can be combined to provide four normalization forms.这个也叫作normalization。
去除此类重复是数据库规范化（normalization）的关键思想。
Removing such duplication is the key idea behind normalization in databases.
