The generation network is therefore an approximate renderer that is learned from data.
其他统计学家对贝叶斯定理的使用方式持有严重保留意见,并倾向于采用不同的方法从数据中学习。
Other statisticians have serious reservations about the way Bayes' theorem is used and prefer different ways to learn from data.
此时,你如何重新构建这些知识呢?机器学习可以提供帮助或增强这种能力,因为它可以从数据中学习。
And machine learning is something that can help or augment that experience because it can learn from the data.
在预测建模中,您可以将“信号”视为希望从数据中学习到的真正底层模式。
In predictive modeling, you can think of the“signal” as the true underlying pattern that you wish to learn from the data.
政治民意调查员,市场研究员,观众收视率不仅希望从这些数据中学习,而且还用它来制定议程。
Political pollsters, market researchers, and audience raters hoped not only to learn from the data, but also to use it to enact an agenda.
现在,即使是对这项技术一无所知的程序员也可以使用简单、高效的工具来实现能够从数据中学习的程序。
Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.
他们构建的系统可以在一段时间内更好地完成任务,也许是通过模拟进化或者从实例数据中学习。
Others built systems that could improve at a task over time such as simulating evolution or by learning from the data provided.
这项技术可以模拟真实货币和虚拟资产,并不断从数据中学习。
The technology works by modeling physical and virtual assets and continuously learning from the data.
这是因为我们正在向网络馈送大量数据,并且它正在使用隐藏层从该数据中学习。
This is because we are feeding a large amount of data to the network and it is learning from that data using the hidden layers.
现在,即使对这项技术几乎一无所知的程序员也可以使用简单,有效的工具来实现能够从数据中学习的程序。
Programmers who had no prior knowledge about this technology are able to use simple, efficient tools to implement programs capable of learning from data.
但是,当你试图了解人们的行为方式,当主体不总是理性的时候,从数据中学习是一个很好的选择。
However, when you're attempting to comprehend how folks behave, whenever the subjects are sometimes not rational, learning from data is the best way to go.
这是机器学习的基本定义:“解析数据,从数据中学习,然后运用他们学到的知识做出明智决策的算法”。
Machine learning has been defined as“algorithms that parse data,learn from that data, and then apply what they have learned to make informed decisions”.
这是机器学习的基本定义:“解析数据,从数据中学习,然后运用他们学到的知识做出明智决策的算法”。
The definition of machine learning is“algorithms that parse data,learn from that data, and then apply what they have learned to make informed decisions.”.
现在,即使对这项技术几乎一无所知的程序员也可以使用简单,有效的工具来实现能够从数据中学习的程序。
Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data….
从数据中学习的AI叫做机器学习。
AI that learns from data is called Machine Learning..
深度学习算法尝试从数据中学习高级特征。
Deep learning algorithms try to learn high-level features from data.
阴影框表示能从数据中学习的组件.
The shaded boxes indicate components that are able to learn from data.
深度学习算法尝试从数据中学习高级特征。
The deep learning algorithms, on the other hand, seek to learn high-level features from data.
深度学习算法试图从数据中学习高级特征。
Deep learning algorithms try to learn high-level features from data.
深度学习算法试图从数据中学习高级特征。
The deep learning algorithms, on the other hand, seek to learn high-level features from data.
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