DEEP LEARNING METHODS 中文是什么意思 - 中文翻译

• 深度学习方法

在 英语 中使用 Deep learning methods 的示例及其翻译为 中文

This can be done either by machine learning or deep learning methods.
这可以通过机器学习或深入学习的方法来完成。

Deep learning methods are being intelligently deployed on very large data sets.
深度学习方法正在被智能地部署到大规模的数据集上。

This trend is sparked by the success of word embeddings and deep learning methods.
这一趋势由词嵌入与深度学习方法的成功所兴起。

Deep learning methods are popular, primarily because they are delivering on their promise.
深度学习的方法很受欢迎，主要是因为它们兑现了当初的承诺。

We are extremely excited to include these cutting-edge deep learning methods in our course!
我们非常兴奋地将这些尖端的深入学习方法纳入我们的课程！!

Nevertheless, deep learning methods are achieving state-of-the-art results on some specific problems.
尽管如此，深度学习方法仍在某些特定问题上取得了最新的成果。

In this post, we will look at five specific promises of deep learning methods in the field of computer vision.
在这篇文章中，我们将看到，自然语言处理领域的深度学习方法的五个具体承诺。

Nevertheless, deep learning methods are achieving state-of-the-art results on some specific language problems.
然而，深度学习方法在一些特定的语言问题上取得了最新的成果。

In this post, you will discover nine interesting computer vision tasks where deep learning methods are achieving some headway.
在本文中，你将发现九个有趣的计算机视觉任务，其中深度学习方法正在取得进展。

Nevertheless, deep learning methods are achieving state-of-the-art results on some specific language problems.
然而，深度学习方法在某些特定的语言问题上可以获得最先进的结果。

In this post, you will discover 7 interesting natural language processing tasks where deep learning methods are achieving some headway.
在本文中，你将发现九个有趣的计算机视觉任务，其中深度学习方法正在取得进展。

Current deep learning methods can integrate local features like texture into more global patterns like shape.
目前的深度学习方法可以将局部特征(如纹理)集成到更全局的模式(如形状)中。

We use this dataset to benchmark 10 representative denoising algorithms and find that deep learning methods have the best performance.
我们使用这个数据集来对10个代表性去噪算法进行基准测试，发现深度学习方法具有最佳性能。

Such supervised deep learning methods were the first to achieve human-competitive performance on certain tasks.
这些深度学习算法也是最先在某些识别任务上达到和人类表现具备同等竞争力的算法。

Academician Nei Kato highlighted the team's latest research findings, namely how to control network traffic through deep learning methods.
NeiKato院士着重介绍了团队最新的研究成果，即如何通过深度学习方法控制网络流量。

However, deep learning methods require large datasets, which aren't readily available in areas such as medical imaging and robotics.
但是，深度学习方法需要大量数据，而这在医疗成像、机器人学等领域中并不容易获取。

The success of our project relied crucially on using the latest deep learning methods to analyze the most advanced experimental biology data.
他说：“我们项目的成功依赖于使用最新的深度学习方法，来分析高级的实验生物学数据。

Most deep learning methods require floating point numbers as input and, unless you have been working with text before, you might wonder:.
大多数深度学习方法需要浮点数作为输入，如果你没使用过文本，你可能会疑问：.

Our work shows that the security features employed by the current text-based captcha schemes are particularly vulnerable under deep learning methods.
我们的工作成果表明，当前这种基于文本的验证码方案所采用的安全功能在深度学习方法下特别容易受到攻击。

Here I want to share the 10 powerful deep learning methods AI engineers can apply to their machine learning problems.
在这里我将分享十个深度学习的方法，AI工程师可能会将这些应用到他们的机器学习问题当中。

Deep learning methods are becoming exponentially more important due to their demonstrated success at tackling complex learning problems.
深度学习方法因在解决复杂学习问题中的成功表现，其重要性正在成指数增长。

Here I want to share the 10 powerful deep learning methods AI engineers can apply to their machine learning problems.
我想在本分中分享10个强大的深度学习的方法，AI工程师可以将这些方法应用到机器学习的问题中。

Deep learning methods can be dropped into existing natural language systems as replacement models that can achieve commensurate or better performance.
深度学习方法可以插入现有的自然语言系统，由此产生的新模型可以实现同等或更好的性能。

Another colleague, ML researcher and author Pedro Domingos, pointed out still other shortcomings of current deep learning methods that I didn't mention:.
另一位同事深度学习研究员兼作家PedroDomingos指出了目前我没有提到的深度学习方法的其他缺点：.

Most deep learning methods use neural network architectures, which is why deep learning models are often referred to as deep neural networks.
大多数深度学习方法使用神经网络架构，这也是深度学习模型通常被称为深度神经网络的原因。

Another colleague, ML researcher and author Pedro Domingos, pointed out still other shortcomings of current deep learning methods that I didn't mention:.
另一位同事、机器学习研究者和作者PedroDomingos指出了一些我没有提到的当前深度学习方法的其它短板：.

Renowned researchers such as Pedro Domingos soon picked up the glove and developed Deep Learning methods that used different optimization techniques.
佩德罗·多明戈斯（PedroDomingos）等著名研究人员很快就拿起了手套，并开发了使用不同优化技术的深度学习方法。