对深度学习 - 翻译成英语

• of deep learning
• in deep learning

在 中文 中使用 对深度学习 的示例及其翻译为 英语

我们当然也会看到对深度学习和黑盒技术的厌倦。
We certainly see a bit of a fatigue with deep learning and black box techniques.

我对深度学习的兴趣始于2015年初，那个时候Google刚刚开源Tensorflow。
My personal interest towards Deep learning started around 2015 when Google open sourced Tensorflow.

这是一个巨大的行业，对高级深度学习技能的需求只会增长。
This is a huge industry and the demand for advanced Deep Learning skills is only going to grow.

AdversarialRobustnessToolbox可以检测并缓解对深度学习模型发起的恶意攻击。
The Adversarial Robustness Toolbox can detect and mitigate malicious attacks against deep learning models.

如果你对深度学习感兴趣，建议你先评估团队成员的技术水平和项目需求。
If you are interested in getting started with deep learning, I would recommend evaluating your own team's skills and your project needs first.

通过对深度学习的支持，NeuralNet的设计具有灵活性，可用于性能至关重要的应用。
With support for deep learning, the NeuralNet is designed for flexibility and use in performance-critical applications.

如果你对深度学习感兴趣，那你一定听说过SwiftforTensorFlow（缩写为S4TF）。
If you're into deep learning, then you must have heard about Swift for Tensorflow(abbreviated as S4TF).

Ooi教授说：“2012年，我们对深度学习和机器平台的需求不断增长，但是缺乏高效的分布式平台。
Prof Ooi said,“We saw an increasing demand for deep learning and machine platforms in 2012, but there was a lack of efficient distributed platforms.

在早期对深度学习的讨论中，Andrew在传统的人工神经网络的背景下描述了深度学习。
In early talks on deep learning, Andrew described deep learning in the context of traditional artificial neural networks.

除了Facebook和谷歌，IBM、亚马逊和苹果都认为，他们的未来取决于他们对深度学习的熟悉程度。
In addition to Facebook and Google, IBM, Amazon, and Apple all perceive their futures to be dependent on how well they master deep learning.

其中Nvidia在深度学习布局较早，对深度学习框架支持更好。
NVIDIA was the first to enter the deep learning field and provides better support for deep learning frameworks.

如果因果关系确实不等同于相关关系，那么这两者之间的区别对深度学习而言也是一个严重的问题。
If it is a truism that causation does not equal correlation, the distinction between the two is also a serious concern for deep learning.

目前，结合2006年以来的这些发现，很清楚的是非监督预训练对深度学习来说不是必要的。
At this point, with all these discoveries since 2006, it had become clear that unsupervised pre-training is not essential to deep learning.

DAWNBench是斯坦福大学建立的项目，旨在以竞赛形式对不同深度学习方法加以比较。
DAWNBench is a Stanford University project designed to allow different deep learning methods to be compared by running a number of competitions.

例如，你可以参阅Databricks最近有关在Spark中TensorFlow和Keras对深度学习支持的公告。
For example, see Databricks' recent announcement of TensorFlow and Keras support for deep learning in Spark.

因此，我预计ApacheSpark将会在未来的12到24个月内有所改变，增加对深度学习相关开发的支持。
In that regard, I predict that Apache Spark to evolve in the next 12-24 months to beef up its native support for deep learning.

本文将介绍具体的硬件要求，并讨论未来对深度学习硬件的展望。
Here, we shall discuss specific hardware requirements and how the future looks for Deep Learning hardware.

除了提高流处理性能，ApacheSpark还将通过深度学习管道增加对深度学习的支持。
In addition improving streaming performance, Apache Spark will be adding support for deep learning via Deep Learning Pipelines.

过去几年，谷歌、微软等其他大型科技公司也在加大对深度学习的研究力度。
Other major tech companies, like Google and Microsoft, have also been doing more with deep learning in the past few years as well.

我们希望ApacheSINGA可以像ApacheHTTPServer对网站服务器所做的一样，对深度学习产生影响。
Prof Ooi hopes that Apache SINGA can make an impact on deep learning the same way Apache HTTP Servers did for website servers.