What is the translation of " 转移学习 " in English?

• transfer learning

Examples of using 转移学习 in Chinese and their translations into English

在转移学习中，机器学习算法分两个阶段进行训练。
In transfer learning, a machine learning algorithm is trained in two stages.

转移学习.
Transfer learning.

转移学习是可以用来缓解这个问题的方法之一。
Transfer learning is one approach you can use to mitigate this problem.

任何想使用转移学习的人.
Anyone who wants to use transfer learning.

您需要概括和转移学习。
You need generalization and transfer learning.

一个成功的人工智能终端将会展示一些转移学习能力，并具有一定程度的敏捷性和推理能力。
A successful AI agent would display some transfer learning, with a degree of agility and reasoning.

按AndrewNg的话说，转移学习将成为机器学习在行业中取得成功的关键因素。
According to Andrew Ng, transfer learning will become a key driver of Machine Learning success in industry.

这使得转移学习很好地适应了物联网环境中智能应用的发展。
This makes transfer learning well adapted to the development of intelligent applications in the context of IoT.

此外，你可以使用一种称为转移学习的策略，从这些预先训练好的网络开始，并根据自己的数据进行细化。
Additionally, you can use a strategy called transfer learning to start from one of these pre-trained networks and refine it on your own data.

转移学习是许多领域的核心技术，”谷歌研究科学家MaithraRaghu和ChiyuanZhang在博客中写道。
Transfer learning is a central technique for many domain,” wrote Google Research scientists Maithra Raghu and Chiyuan Zhang in a blog post.

转移学习，其中先前针对具有丰富可用标记数据的问题进行训练的模型针对具有有限标记数据的新问题而定制。
Transfer learning, where models previously trained for a problem with copious available labeled data are tailored for a new problem with limited labeled data.

了解如何实时转移学习30分钟内训练和运行实时移动物体检测器.
Learn how to perform transfer learning in Training and serving a real-time mobile object detector in 30 minutes.

将提出两种处理这种情况的方法：一种使用合成数据，另一种利用跨模态转移学习。
Two methods for dealing with this scenario will be presented: one using synthetic data and the other exploiting cross-modality transfer learning.

从一个类似于应用程序的示例开始，然后使用转移学习来快速操作。
Start with an example that is similar to your application and use transfer learning to get operational quickly.

他说，这种办法不仅可以解决AI的透明度问题，而且还能解决哈德塞尔提出的转移学习成果的问题。
This, he says, might not only solve the transparency problem of AI, but also the problem of transfer learning outlined by Hadsell.

您可以使用转移学习等技术来重新训练模型从而能够辨识初始设置之外的物品种类。
You can use a technique known as transfer learning to re-train a model to recognize classes not in the original set.

因此，在最广泛的定义中，开发转移学习技术是部署有效和准确的智能系统的关键因素。
Thus, developing techniques for transfer learning, in its broadest definition, is a crucial element towards the deployment of effective and accurate intelligent systems.

他们说，它提供了转移学习的大部分好处，同时进一步支持灵活的模型设计。
They say that it confers most of the benefits of transfer learning while further enabling flexible model design.

另一种技术被称为转移学习，使用AI将来自一个数据集的学习应用到新的领域。
Another technique is known as transfer learning, which uses AI to apply learning from one data set to a new domain.

将社会线索编入机器人的常用方法是首先研究人-人的行为，然后转移学习。
A common approach to program social cues into robots is to first study human-human behaviors and then transfer the learning.

这些包括转移学习，其中一个领域的知识应用于另一个领域，以及无监督学习，其中系统在没有人类指导的情况下学习。
These include transfer learning, where knowledge in one domain is applied to another, and unsupervised learning, where systems learn without human direction.

他们想知道是否可以构建一个单一的翻译系统来同时应对许多语言，并潜在的展现出人类智能的标志性能力--转移学习。
They wondered if they could build a single translation system that could juggle many languages and potentially display transfer learning, a hallmark of human intelligence.

为了缓解这些问题，本文研究了多轮信息寻求对话的转移学习。
To alleviate these problems, we study transfer learning for multi-turn information seeking conversations in this paper.

我们可以使用现有的训练模型，以及转移学习的魔力，将其用于增强。
We can use existing trained models, along with the magic of transfer learning, to use it for augmentation.

Kouider暗示，当你在游戏中进步时，会发生某种形式的转移学习。
Kouider hinted that there's some form of transfer learning happening as you progress in the game.

虽然数据确实是创建网络的关键部分，但转移学习（TransferLearning）的想法有助于减少数据需求。
While data is a critical part of creating the network, the idea of transfer learning has helped to lessen the data demands.

与转移学习和半监督学习有关的另一个方向是使模型能够在有限的数据量下更好地工作。
Another direction that is related to transfer learning and semi-supervised learning is to enable models to work better with limited amounts of data.

尽管转移学习（一种试图解决这个问题的方法）这样的方法正在开发中，但泛化仍然是预测建模的一个重要局限。
Although methods like transfer learning, an approach that attempts to remedy this very issue, are in development, generalizability remains a significant limitation of predictive modeling.

我实际上发现了三种符号整合，一种是转移学习方法，一种是自上而下的方法，另外一种是自下而上的方法。
There are actually three kinds of symbolic integration that I have found, a transfer learning approach, a top-down approach, a bottom up approach.