This is typically called normalization . This is called Normalization .
什么是DataNormalization 以及为什么我们需要它?? What is data normalization and why do we need it? DataNormalization 使所有特征均等加权。 Normalizing the data puts all features on the same scale.The solution is standardization . 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. And the solution is normalization . 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. 两种等价方式带来四种normalization form:. These two equivalences can be combined to provide four normalization forms:. 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. 这也意味着当使用BatchNormalization 时我们可以在训练中使用更高的学习率。 And that also means we can use higher learning rates during training when using Batch Normalization . BatchNormalization 也是一种正则化形式,有助于最小化过拟合。 Batch Normalization also acts as a form of regularization that helps to minimize overfitting. 团队引入了一些诸如word-piecemodel、coveragepenalty、lengthnormalization 的概念。 The team introduced something called a“word-piece model,” a“coverage penalty,”“length normalization .”. BatchNormalization 使超参数的搜索更加快速便捷,也使得神经网络鲁棒性更好。 Batch normalization makes the Hyperparameter tuning easier and makes the neural network more robust. 最近的一篇论文提出了一种名为「FilterNormalization 」的技术,该项技术解释了超出本文范围的内容。 A recent paper pioneers a technique called Filter Normalization , explaining which is beyond the scope of this post. 因此我将讲解不同类型的梯度下降法算法,dropout,batchnormalization 和无监督预训练。 I will thus present different variants of gradient descent algorithms, dropout, batch normalization and unsupervised pretraining. 除此之外,它也使用competitivenormalization 来抑制附近单元的活动。 In addition to that, it also uses competitive normalization to suppress hidden activities when nearby units have stronger activities. BatchNormalization 可以避免x值经过非线性激活函数后趋于饱和的现象。 Batch normalization can help us avoid the phenomenon that the value of x falls into saturation after going through non-linear activation functions. 这是由于在语音识别的核心组件的输出上应用了一个被称之为逆转文本标准化(ITN,InverseTextNormalization )的过程。 This is the result of the application of a process called inverse text normalization (ITN) to the output of a core speech recognition component. Normalization FormCompatibilityComposition以兼容等价方式来分解,然后以标准等价重组之.Normalization Form Compatibility Composition Characters are decomposed by compatibility, then recomposed by canonical equivalence. 图5展示了该9层网络的架构,其中包括一个归一化层(normalization layer)、5个卷积层和3个完全连接的层。 Figure 5 shows the network architecture, which consists of 9 layers, including a normalization layer, 5 convolutional layers, and 3 fully connected layers. 经过BatchNormalization 处理之后,就可以使用较大的学习率从而加快训练速度,并且降低初始化的要求。 As a result, Batch Normalization enables faster training by using much higher learning rates and alleviates the problem of bad initialization. 最后,我们考虑了用于提升SGD性能的其他策略,例如shuffling与curriculumlearning,batchnormalization 以及earlystopping。 Finally, we have considered other strategies to improve SGD such as shuffling and curriculum learning, batch normalization , and early stopping. 虽然tf-idfnormalization 通常非常有用,但是可能有一种情况是二元出现标记(binaryoccurrencemarkers)会提供更好的特征。 While the tf- idf normalization is often very useful, there might be cases where the binary occurrence markers might offer better features. 最后,介绍了一些提高SGD性能的其它优化建议,如:训练集随机洗牌与课程学习(shufflingandcurriculumlearning)、batchnormalization ,、earlystopping与Gradientnoise。 Finally, we have considered other strategies to improve SGD such as shuffling and curriculum learning, batch normalization , and early stopping. Isfan,T.M.著,2007年,"Variables:HarmonizationandNormalization ",国际统计学会第五十六届大会上发表,里斯本,2007年8月22日至29日。 Isfan, T. M., 2007," Variables: Harmonization and Normalization ", presented at the fifty-sixth Conference of the International Statistical Institute, Lisbon, 22-29 August 2007.
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