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

• deep learning is
• for deep learning which is

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

那么深度学习是如何对视频进行分析的?
What is Deep Learning Video Analytics?

深度学习是解决所有计算机视觉问题的最佳方案吗？?
Is deep learning the best solution for all visual tasks?

深度学习是这一切的答案吗?
So is deep learning the answer to everything?

深度学习是这一切的答案吗?
Is Deep Learning always the answer?

深度学习是一种全新的软件模式，其中数十亿个软件神经元和数万亿个连接被并行地训练。
Deep learning is a fundamentally new software model where billions of software-neurons and trillions of connections are trained, in parallel.

深度学习是机器学习的一个子领域，它使用基于学习数据表示和结构（例如神经网络）的方法。
Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks.

此外，神经网络为深度学习提供了基础，深度学习是一种特殊的机器学习。
Furthermore, neural nets supply the foundation for deep learning, which is a specific sort of machine learning.

此外，神经网络为深度学习提供了基础，深度学习是一种特殊的机器学习。
In addition, neural nets provide the foundation for deep learning, which is a particular kind of machine learning.

深度学习是机器学习的一个领域，它使计算机能够接受培训，并通过卷积神经网络（CNN）等结构进行学习。
Deep learning is an area of machine learning that enables computers to be trained and learn through architectures such as convolutional neural networks(CNNs).

如果你喜欢阅读而不是看视频讲座：神经网络和深度学习是一本免费的在线书籍，适合初学者进入这一领域。
If you prefer reading over watching video lectures: Neural Networks and Deep Learning is a free online book for beginners to the field.

深度学习是人工神经网络的现代流行词，它是机器学习中构建分析模型的许多概念和算法之一。
Deep Learning is the modern buzzword for artificial neural networks, one of many concepts and algorithms in machine learning to build analytics models.

深度学习是无人驾驶汽车背后的关键技术，使它们能够识别停车标志，或区分行人与路灯杆。
Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost.

如果你开始谷歌搜索深度学习是什么，你会发现今天这个超级热门词远远不是新的。
If you start googling what Deep learning is, you will notice this super hot word today is far away from being new.

深度学习是培养实时图像识别和追踪增强对象的关键，并为它们提供了真实的位置数据和特征。
Deep learning is essential in fostering real-time image recognition and tracking augmented objects, giving them real positional data and features.

深度学习是各个学习最先进的系统的一部分，特别是计算机视觉和自动语音识别(ASR)。
Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision and automatic speech recognition(ASR).

深度学习是一种机器学习，它使用一种尽可能接近人类大脑神经网络的结构作为学习模型。
Deep learning is a type of machine learning that uses a structure as close as possible to the human brain- neural networks- as a model for learning..

要理解深度学习是什么，我们首先需要了解深度学习与机器学习、神经网络和人工智能之间的关系。
To understand what deep learning is, we first need to understand the relationship deep learning has with machine learning, neural networks, and artificial intelligence….

深度学习是机器学习的一个子领域，它本身也是AI的一个子领域，并且它本身还是计算机科学的一个子领域。
Deep learning is a subfield of machine learning, which itself is a subfield of AI, which itself is a subfield of computer science.

深度学习是机器学习的一种形式，所采用的神经网络在输入节点和输出节点之间具有许多“深度”层。
Deep learning is a form of machine learning that uses neural networks with many“deep” layers between the input and output nodes.

深度学习是一套基于神经网络的机器学习技术，它仍在发展之中，不过在解决业务问题方面显示出大有潜力。
Deep Learning is a set of machine-learning techniques based on neural networking, is still developing gradually but shows great potential for solving several problems.

深度学习是无人驾驶汽车背后的关键技术，使它们能够识别停车标志，或区分行人与路灯杆。
Deep learning is a key technology behind driverless cars, which enable them to recognize a stop sign or differentiate a pedestrian from a lamp post.

通常认为深度学习是一种比其他机器学习策略（如决策树、遗传算法和支持向量机）更精确的工具。
Deep learning is considered a more accurate tool than other machine learning strategies such as decision tree, genetic algorithm, and support vector machines.

深度学习是自动化领域革命性突破的背后推手，这包括理解图像、文本和语音等广泛任务。
Deep learning is behind revolutionary breakthroughs in automation of a wide range of tasks, including understanding images, text, and speech.

S+B：深度学习是什么，它能给一个公司带来什么价值？?
S+B: What is deep learning, and what value does it bring to an organization?

从理论上讲，深度学习是有吸引力的，但在实践中却没有人能使它发挥得很好。
Deep learning was alluring in theory, but no one could make it work well in practice.

自然语言理解和深度学习是挖掘这些信息和揭示如何更好地为他们的客户服务的关键。
Natural language understanding and deep learning are key to tapping into this information and to revealing how to better serve their audiences.

虽然这无疑是一项令人印象深刻的技术成就，但我不禁要问自己：深度学习是否朝着正确的方向发展？?
While this was an undoubtedly impressive technical achievement, I couldn't help but ask myself: Is deep learning going in the right direction?

虽然深度学习是最近发生的最有趣的突破，但我们也尝试押注未来可能获得相关性的领域：.
While deep learning is where most interesting breakthroughs happened recently, it's worth trying to bet on areas that might gain relevance going forward:.

在调查中，我们发现深度学习是任何数据科学家最有价值的技能之一。
In our survey, we found deep learning to be one of the most valuable skills to have for any data scientist.