What is the translation of " 深度学习已经 " in English?

• deep learning has

Examples of using 深度学习已经 in Chinese and their translations into English

近几年，深度学习已经彻底改变了计算机视觉。
Within a few years, deep learning has completely disrupted the computer vision.

深度学习已经被应用于自动文本摘要（成功）了吗？?
Has Deep Learning been applied to automatic text summarization(successfully)?

深度学习已经显著地改善了自然语言处理任务中的最先进的性能，如机器翻译、摘要、问答和文本分类。
Deep learning has significantly improved state-of-the-art performance for natural language processing tasks like machine translation, summarization, question answering, and text classification.

虽然不适用于传统机器学习，但深度学习已经主导某些特定的领域，特别是那些使用图像、文本或音频数据的领域。
While not appropriate for general-purpose machine learning, deep learning has been dominating certain niches, especially those that use image, text, or audio data.

由于深度学习已经成为近来人工智能进展的核心部分，NeurIPS可以被视作更大的人工智能生态系统的标志性会议。
Since deep learning has become such a central part of recent AI advances, NeurIPS can be seen as a proxy for the larger AI ecosystem.

图像识别和语音识别--GPU深度学习已经为机器学习、感知、推理和解决问题提供了基础。
Image recognition and speech recognition- GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems.

深度学习已经让计算机视觉获得了突飞猛进的提高，例如目前的自动驾驶机动车（轿车和卡车）均已变为现实。
Deep learning has improved computer vision, for example, to the point that autonomous vehicles(cars and trucks) are viable.

这就是为什么深度学习已经成为数据科学行业的一个热门词汇的原因。
This is the reason that Deep Learning has become a major buzz word in the data science industry.

深度学习已经成功地应用于计算机视觉、自然语言处理、语音识别、在线广告、物流还有其他许多问题。
Deep learning has been successfully applied to computer vision, natural language processing, speech recognition, online advertising, logistics, many, many, many problems.

尽管深度学习已经存在了很多年，但这些技术的重大突破仅仅是在最近几年才出现的。
Now although Deep Learning has been around for many years, the major breakthroughs from these techniques came just in the recent years.

尽管深度学习已经变得相当流行，但只是实现单个深度学习模型还远远不够。
Although Deep Learning has become quite popular, it is not enough by just implementing a single Deep Learning model.

经过多年的投入，深度学习已经成为Facebook一切内容的基础。
After years of investment, deep learning has become the foundation of everything on Facebook.

GPU深度学习已经激起了一股创新的潮流并将引领下一个计算机时代。
GPU deep learning has sparked a wave of innovations that will usher in the next era of computing.

深度学习已经成为解决许多具有挑战性的现实世界问题的方法。
Deep Learning has become the go-to method for solving many challenging real-world problems.

深度学习已经在许多其它领域得到了应用，也让计算机能更好地处理其它重要任务，比如音频和文本处理。
And deep learning has since been applied in many other areas, making computers better at other important tasks, such as processing audio and text.

实际上，深度学习已经打消了一切想要参加一个集会后不留下任何记录的想法，除非你准备直接戴个面具。
In effect, deep learning has made it impossible to attend a public gathering without leaving a record, unless you are prepared to wear a mask.

虽然对深度学习的广泛兴趣在2012年开始兴起，但深度学习已经成为无数行业不可或缺的工具。
While widespread interest in deep learning took off in 2012, deep learning has become an indispensable tool for countless industries.

但因为能将开发者从复杂的特征规范任务中解脱出来，深度学习已经可以为各种重要问题提供非常成功的预测引擎。
But by freeing programmers from complex feature specification, deep learning has delivered successful prediction engines for a range of important problems.

机器学习和深度学习已经成为定量对冲基金常用的新的有效策略，以最大化其利润。
Machine Learning and deep learning have become new and effective strategies commonly used by quantitative hedge funds to maximize their profits.

深度学习已经创建了许多有用的一代系统应用，特别是在计算机视觉领域。
Deep learning has already created many useful system 1 applications, especially in the domain of computer vision.

深度学习已经走进了从近人类图像分类到改进自动驾驶的各个方面。
Already, deep learning has achieved everything from near-human image classification to improved autonomous driving.

此外，深度学习已经被应用于解决一些非常困难的问题，并且有非常好的表现，这些问题通常是不可能用其他技术解决的。
Also deep learning has been applied to solve very different sets of problems and shown good performance, which is typically not possible with other techniques.

近年来，深度学习已经彻底改变了计算机视觉。
Within a few years, deep learning has completely disrupted the computer vision.

近年来，深度学习已经彻底改变了计算机视觉。
Deep learning has profoundly changed the field of computer vision in the last few years.

下面是人工智能技术的实际情况：深度学习已经形成了自己的特点。
Here's what's actually going on with AI technology: deep learning has come into its own.

然而和深度学习已经取得的成功相比，对于为什么它能工作得这么好的理解我们还依然欠缺。
However, as successful as deep learning has been, our level of understanding of why it works so well is still lacking.

深度学习已经改变了计算机视觉，并大幅改进机器翻译。
Deep learning has transformed computer vision and dramatically improved machine translation.

截至2015年，深度学习已经实现了“超人级”的感知能力。
By 2015, deep learning had achieved“superhuman” levels of perception.