Examples of using 提取器 in Chinese and their translations into English
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的mbox电子邮件提取器.
Mbox电子邮件提取器内容.
MBOX Email Extractor.IPhone备份提取器于.
The iPhone Backup Extractor.IPad使用iPhone备份提取器.
Pad Use iPhone Backup Extractor.重新复制iPhone备份提取器.
Reincubate i Phone Backup Extractor.Viber？是iPhone备份提取器.
Viber Yes iPhone Backup Extractor.ICloud打开iPhone备份提取器.
ICloud Open iPhone Backup Extractor.IPhone备份提取器“照片库”.
IPhone Backup Extractor" Photo Library".看看iPhone备份提取器可以为您做什么。
See what iPhone Backup Extractor can do for you.这个解决方案也提供了TensorFlowVGGish模型作为特征提取器。
Also this solution offers the TensorFlow VGGish model as feature extractor.因此，我们只能保留卷积层，并将它们作为特性提取器使用。
We would therefore only keep the convolutional layers and use them as a feature extractor.这个想法是这个预先训练的模型将作为一个特征提取器。
The idea is that this pre-trained model will act as a feature extractor.因此，深度学习减少了为每个问题开发新的特征提取器的任务。
It thus reduces the task of development of new feature extractor for every problem.基于此，深度学习削减了对每一个问题设计特征提取器的工作。
Therefore, deep learning reduces the task of developing a new feature extractor for every problem.这个想法是这个预先训练的模型将作为一个特征提取器。
The concept is that pre-trained model will function as a feature extractor.IPhone备份提取器可以从iCloud恢复受双因素身份验证保护的设备的数据。
Two-factor authentication accounts. iPhone Backup Extractor can recover data from iCloud for devices protected with two-factor authentication.一种不太常见、更加专业化的深度学习方法是使用网络作为特征提取器。
下面我们要向您展示使用此提取器的简单性，这将允许您收集潜在的客户数据。
Below we want to show the simplicity 在模式识别的传统模型中，利用手工设计的特征提取器从输入中提取相关信息，消除无关变量。
In the traditional model of pattern recognition, a hand-designed feature extractor gathers relevant information from input and eliminates irrelevant variabilities.我们的模糊提取器可以将噪音数据（如指纹或SRAMPUF）转换为安全的密钥和可靠的标识符。
Our fuzzy extractor can turn noisy data like a fingerprint or SRAM PUF into secure cryptographic keys and reliable identifiers.
