深度学习可以 in English Translation

深度学习可以自动提取特征。

Deep Learning can extract features automatically.

深度学习可以非常节能.

Deep Learning can be very energy-efficient.

深度学习可以做到这一点。

Deep learning can do this.

如果企业准备好了，深度学习可以带来变革。

If the enterprise is ready, deep learning can be transformative.

但深度学习可以轻易检出。

But deep learning can easily be fooled.

不像其他机器学习方法，深度学习可以搞清楚相当复杂的关系，例如生物学和医学的生命系统中发现的复杂关系。

Unlike other machine-learning methods, deep learning can make sense of incredibly complex relationships, such as those found in living systems in biology and medicine.

人工智能和深度学习可以在能源部门以一种非常有趣的方式在这方面得到应用。

Artificial intelligence and deep learning can be applied in the energy sector in a very interesting way in this context.".

深度学习可以加快流程，例如图像识别、自然语言处理和其它复杂的数据驱动型任务。

Deep learning can accelerate processes like image recognition, natural language processing and other complex, data-driven tasks.

深度学习可以征服国际象棋，但它没有天生的下棋意愿。

Deep learning can conquer chess, but it has no inborn will to play.

深度学习可以解决几乎任何机器感知的问题，包括对数据进行分类、聚类或对其进行预测分析。

Deep learning can solve almost any problem of machine perception, including classifying data, clustering it, or making predictions about it.

当然，我们已经花了一章来回顾深度学习可以解决具备相当挑战性的问题的证据。

Of course,we have just spent a chapter reviewing evidence that deep learning can solve extremely challenging problems.

深度学习可以想出解决棘手问题的办法，比如，识别可疑的网络行为。

Deep learning can figure out how to solve tough problems, such as identifying suspicious online behavior.

我们相信这种类型的深度学习可以用于许多不同的行业，从鞋类到家具，再到家居用品和汽车等。

We believe this type of deep learning can be applied to many different types of industries, from shoes and apparel to furniture, housewares and automobiles.

虽然深度学习可以在无人监督的环境中使用，但它通常都是应用在监督学习(supervisedlearning)中。

While Deep Learning can be used in an unsupervised context, generally it powers supervised learning..

深度学习可以实现超人类模式识别准确性，还具备抵抗干扰性，能分类和识别数千个不同特征。

Deep learning can achieve super-human pattern recognition accuracy, resist interference, and classify and recognise thousands of features.

虽然机器学习通常需要人类提供结构化数据，但深度学习可以自行构造原始数据。

While machine learning typicallyrequires humans to provide structured data, deep learning can structure raw data by itself.

例如，在解读医学图像以便及早诊断癌症方面，深度学习可以给出很好的结果。

Deep learning can, for example, give promising results when interpreting medical images in order to diagnose cancer early.

所以如果深度学习可以泛化的话，我们在2016年就应该拥有了L5自动驾驶，并且它采用一种大型神经网络的形式。

If deep learning could generalize, we would have had L5 self-driving in 2016, and it would have taken the form of a big neural network.

因为你可以很快地体会到深度学习可以做些什么，并有动力去做一些有趣的项目。

Because you can quickly get a taste of what deep learning can do and get motivated to do more interesting projects.

也许重要的是，深度学习可以采取更广泛的方式。

Perhaps the point was that deep learning can be taken in a broader way.

起初，人们认为端到端深度学习可以在某种程度上解决这个问题，这也是英伟达曾大肆宣扬的假设。

Initially it was thought that end-to-end deep learning could somehow solve this problem, a premise particularly heavily promoted by Nvidia.

综上所述，拥有这四个优势意味着深度学习可以得到有用的结果而其它方法得不到的有用结果；.

Taken together, these four strengths mean that deep learning can produce useful results where other methods fail;

MapR首席产品官AnilGadre表示：“深度学习可以为企业组织提供深远的转型机会。

Anil Gadre, MapR chief product officer, says:"DL can provide profound transformational opportunities for an organization.

吴恩达最近在《哈佛商业评论》上的文章暗示，深度学习可以在一秒之内做一个人可以做的任何事情。

Andrew Ng's recent Harvard Business Review article, which I cited,implies that deep learning can do anything a person can do in a second.

其他人则表示，虽然深度学习可以解决一些问题，但是该技术具有其根本的局限性，将会阻碍它在许多应用中发挥作用。

Others say that while deep learning can solve some problems, the technology has fundamental limitations that will prevent it from being useful for many applications.

深度学习可以有人监督（需要人工干预来培训基本模型的演进），也可以无人监督（通过自我评估自动改进模型）。

Deep learning can be supervised(requiring human intervention to train the evolution of the underlying models) or unsupervised(autonomously refining models based on self-evaluation).

为什么深度学习可以改变你的生活？

Why Deep Learning is Suddenly Changing Your Life.

反过来，深度学习可以更好，更快地识别。

Deep learning, in turn, allows much better and faster identification.

这是一个深度学习可以显著提高客户体验的领域。

This is an area where deep learning can significantly improve customer experience.

与此相反，深度学习可以更好更快地识别。

Deep learning, in turn, allows much better and faster identification.