生成 模型 英语是什么意思 - 英语翻译

generative modeling
生成 模型
生成 建模
generation models
to generate models

在 中文 中使用 生成 模型 的示例及其翻译为 英语

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Schawinski在2016年转向强大的生成模型工具。
Schawinski turned to the powerful new tool of generative modeling in 2016.
该模型将张量网络和生成模型连接起来。
This model connects tensor networks and generative modeling.
我们可以想象地使用任何LSTM体系结构作为生成模型
We could conceivably use any LSTM architecture as a generative model.
在线规划模型则依赖于已有的准确的生成模型
Online planners rely on the existence of an accurate generative model.
但是这种生成模型是没有意义的。
This model of production doesn't make sense.
条件概率分布可以由生成模型根据贝叶斯定理形成。
A conditional distribution can be formed from a generative model through Bayes' rule.
机器学习生成模型,然后由控制应用程序使用。
Machine learning to generate the models which are then used by control applications.
在我的领域,我们称之为生成模型
In my field, we call it generative models.
他认为,2019年的重大飞跃包括围绕生成模型的进步以及可产生合理语言不断提高的质量。
He believes majorleaps forward in 2019 include progress around generative models and the increasing quality with which plausible language can be generated.
他认为,2019年的重大飞跃包括围绕生成模型的进展,以及生成可信语言的质量不断提高。
He believes that the great advances in 2019 include the progress around generative models and the increasing quality with which plausible language can be generated.
生成模型的支持者认为它非常新颖,可以被视作研究宇宙的“第三类方式”。
Proponents of generative modeling see it as novel enough to be considered a potential“third way” of learning about the universe.
神经网络,特别是生成模型,将改变图形的创建方式。
Neural networks- specifically- generative models are going to change the way graphics are created.
不过,生成模型显然很强大,但它是否真正代表了一种新的科学方法还有待商榷。
Generative modeling is clearly powerful, but whether it truly represents a new approach to science is open to debate.
文本生成模型还可能面临例如为神经模型定义事实的挑战。
Text generation models can also come with the challenge of, for example, defining a fact for a neural model..
文本生成模型还可能面临其它挑战,例如,为神经模型定义事实。
Text generation models can also come with the challenge of, for example, defining a fact for a neural model..
这个独特的计算机代码使得研究人员能够生成模型,使空气和固体材料共存计算的任何部分。
This unique computer code allowed researchers to generate models that let both air and solid material coexist in any part of the calculation.
公司将使用生成模型来为购房者、博物馆参观自动生成数字化演示,甚至为电子游戏生成内容。
A company will use generative models to automatically create digital walkthroughs for house buyers, museum tours, or even generate content for video games.
应对这些挑战的一个关键就是OpenAI研究人员所说的“生成模型”。
One of the keys to tackling thesechallenges is what OpenAI's researchers call“generative modeling.”.
例如,我们使用了一个生成模型将运动从一种形状转移到另一种形状:.
For example, we used a generative model to transfer the motion from one shape to another:.
他认为,2019年的重大飞跃包括围绕生成模型的进步,以及生成可信语言的质量不断提高。
He believes that the great advances in 2019 include the progress around generative models and the increasing quality with which plausible language can be generated.
使用机器学习从数据生成模型正在取代许多应用程序的传统软件开发过程。
Employing Machine Learning to generate models from data is replacing traditional software development in many applications.
在Anandkumar看来,2019年的一大惊喜是文本生成模型的发展速度。
One of the great surprises of 2019, in Anandkumar's opinion,was the speed at which the text generation models progressed.
我不确定这是否就是我们希望的自然语言生成模型的发展方向。
I am not sure if this is really what wewould like to guide our natural langage generation models towards.
ICA对观测到的多变量数据定义了一个生成模型,这通常是作为样本的一个大的数据库。
ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples.
通过机器学习从数据生成模型正在取代许多传统的软件开发方法。
The use of machine learning to generate models from data is replacing traditional software development for many applications.
生成模型对整个概率分布进行估计,从而可以生成图像、文本或语音等新内容。
Generative models estimate an entire probability distribution so that new content can be generated such as images, text, or speech.
使用机器学习从数据生成模型正在取代许多应用程序的传统软件开发过程。
The use of machine learning to generate models from data is replacing traditional software development for many applications.
生成模型将学习数据类别,而判别模型将简单地学习不同类别数据之间的区别。
A generative model will learn categories of data while a discriminativemodel will simply learn the distinction between different categories of data.
另一方面,生成模型在刻画复杂学习任务中的依赖关系方面较判别模型更加灵活。
On the other hand, generative models are typically more flexible than discriminativemodels in expressing dependencies in complex learning tasks.
机器学习研究工程师,具有开发深度强化和生成模型的经验,解决数字健康、音频/视频媒体和NLP方面的问题。
Research engineer in machinelearning with experience developing deep reinforcement and generative models, solving problems in digital health, audio/video media and NLP.
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