What is the translation of " 学习神经 " in English?

learning neural

Examples of using 学习神经 in Chinese and their translations into English

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Atomwise采用深度学习神经网络发现新的药物。
Atomwise uses Deep Learning Neural Networks to discover new medicines.
深度学习神经网络是最近最激动人心的科技进展。
Deep learning neural networks are the most exciting recent technological and scientific development.
深度学习神经网络并非完全是2010年代的发明。
Deep learning neural networks are not wholly an invention of the 2010s.
深度学习神经网络有三个主要的内在功能:.
Deep learning neural networks have three main intrinsic capabilities:.
年,微软使用了一个深度学习神经网络进行语音识别。
In 2010, Microsoft used a deep learning neural network for speech recognition.
学习神经网络.
Learn Neural Networks.
理由1:深度学习神经网络能够自动从原始数据和不完整数据中学习和提取特征.
Reason 1: Deep learning neural networks are capable of automatically learning and extracting features from raw and imperfect data.
深度学习神经网络应用于许多不同的场景,为使用它们的人提供了强大的新工具。
Deep learning neural networks are used in many different applications, giving powerful new tools to those who leverage them.
更为激烈的是,执行机器学习神经网络所需的浮点运算量每三个半月就翻一番。
Even more intense, the number of floating-pointarithmetic operations needed to carry out machine learning neural networks is doubling every three and a half months.
深度学习神经网络平台Neurala的首席执行官MaxVersace表示,自动驾驶汽车还需要几年的时间才能实现。
Max Versace, the CEO at the deep learning neural networks platform Neurala, says self-driving cars are several years away.
因为如果深度学习神经网络出了问题,我们对于如何识别这些问题并纠正问题可能会无从入手。
If something goes wrong in a deep learning neural network, we don't have a clear idea of how to identify the problem and correct it.
深度学习神经网络现在正被应用于数以百计的重要应用中。
Deep learning neural networks are now being applied to hundreds of important applications.
学习神经网络用于不断提高企业的安全态势和管理相关问题的能力。
Learning neural networks are used to continuously improve the enterprise's security posture and ability to manage related issues.
MaxVersace是深度学习神经网络软件公司Neurale的CEO,也是波士顿大学神经形态实验室的主管。
Max Versace is the CEO of Neurala, a deep learning neural network software company, and founding director of the Neuromorphics Lab at Boston University.
智能传感器由深度学习神经网络驱动,使车辆能够“看到”其周围环境。
Powered by deep learning neural networks, smart sensors enable the vehicle to'see' its surroundings.
深度学习神经网络非常适合利用多个处理器,跨不同的处理器类型和数量以无缝方式有效分配工作负载。
Deep learning neural networks are ideally suited to take advantage of multiple processors, distributing workloads seamlessly and efficiently across different processor types and quantities.
在这篇文章中,我们将使用Elixir编程语言创建一个标准的3x3深度学习神经网络。
In this post, we will be creating astandard 3 x 3 Deep Learning Neural Network using only the Elixir programming language.
换句话说,浅层神经网络已演变成深度学习神经网络。
In other words,shallow neural networks have evolved into deep learning neural networks.
由于深度学习如此受欢迎,我们将研究随机森林、AdaBoost和深度学习神经网络之间的一些有趣的共同点。
Deep learning is so popular these days, we will study some interesting commonalities between random forests, AdaBoost,and deep learning neural networks.
换句话说,浅层神经网络已经演变成深度学习神经网络。
In other words,shallow neural networks have evolved into deep learning neural networks.
换句话说,浅层神经网络已经发展成了深度学习神经网络。
In other words,shallow neural networks have evolved into deep learning neural networks.
Net机器人从其他自动交易平台中脱颖而出,因为它们是通过自学习神经网络创建的。
Net robots stand out from otherautomated trading platforms because they are created with self-learning neural networks.
深度学习神经网络.
Deep learning neural networks.
深度学习神经网络:一些基本概念.
Deep learning neural networks: Some foundational concepts.
深度学习神经网络通常包含许多层。
Deep learning neural networks typically consist of many layers.
大约一半的人使用深度学习神经网络。
About half are using deep learning neural networks.
大约一半的人使用深度学习神经网络。
Forty-nine percent are employing deep learning neural networks.
美国中情局使用深度学习神经网络预测社会动乱.
CIA using deep learning neural networks to predict social unrest.
有时候,自学习神经网络可能是最佳的选择;
Sometimes self-learning neural networks may be the best alternative;
但是生成上述标题的深度学习神经网络无法回答这些问题。
But the Deep Learning neural network that produced the caption above can not answer these questions.
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