What is the translation of " 于神经网络 " in English?

• neural network
• neural networks
• neural networking

Examples of using 于神经网络 in Chinese and their translations into English

人类与机器都依赖于神经网络来进行目标与面部识别。
Humans and machines both use neural networks for object and face recognition.

三者的区别在于神经网络需要学习的内容。
The distinction is what the neural network is tasked with learning.

例如，基于树的方法和基于神经网络的方法。
For example, tree based methods, and neural network inspired methods.

这一切都归功于神经网络和机器学习。
And it all comes down to neural networks and machine learning.

Deep-image-prior:基于神经网络实现图像修复，非监督学习方式.
Deep Image Prior- Image restoration with neural networks but without learning.

新AI系统依赖于神经网络。
New AI systems rely on neural networks.

这种非凡的新进展主要归功于神经网络。
This extraordinary recent advancement is due to neural networks.

几乎所有基于递归神经网络中令人兴奋的成果都是用它们实现的。
Almost all exciting results based on recurrent neural networks are achieved with them.

本研究旨在使用基于卷积神经网络（CNN）的模型提取推文中使用的位置词。
This research aims to extract location words used in the tweet using a Convolutional Neural Network(CNN) based model.

这虽然不是真正的神经网络，但类似于神经网络，并且构成了BM和HNs的理论基础。
While not really a neural network, they do resemble neural networks and form the theoretical basis for BMs and HNs.

我们喜欢AI编程，查看我们的AI和基于神经网络的手写字符识别应用案例研究。
At Existek, we love AI programming, check our AI and neural network based handwriting character recognition application case study.

基于人工神经网络的算法不仅能支持云计算，还可在本地作出明智的决策，并实现新的、革命性的应用。
Algorithms based on artificial neural networks are not just reserved for the cloud, but can make smart decisions locally and enable new, revolutionary applications.

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, a set of machine-learning techniques based on neural networking, is still evolving, but shows great potential for solving business problems.

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.

实践证明这是一个非常好的猜测，因为现在大多数基于人工神经网络的图像和语音应用都使用了这种连接方式。
It turned out that this is a good guess, as it's used in many image and sound wave based neural network applications.

阿里云NLP和基于深度神经网络的AI人机在本次测试中回答了超过100,000个问题。
Alibaba Cloud's NLP and deep neural networks based AI machine answered more than 100,000 questions in this test.

Ion™平台依赖于深度神经网络Eos以及Atlas，此类神经网络是许多不同的模块，专为调谐摄像头而设计。
Ion relies on the deep neural network Eos and Atlas, a number of different modules designed for camera tuning.

一些用例是相似的：区别在于神经网络可以增长到接近无限的学习和输出规模。
Some of the use cases are similar: the distinction is that the neural networks can grow to near-infinite scales of learning and output.

Plantix的这些能力依赖于深度神经网络（DNN），它以一种类似于生物神经系统运作的方式处理信息。
These abilities rely on deep neural networks, or DNNs, which processes information in a way similar to how biological nervous systems operate.

YOLO（YouOnlyLookOnce）是一个基于卷积神经网络（CNN）的物体检测算法。
YOLO(You Only Look Once) is a real-time object detection system, based on an open source convolutional neural network(CNN).

TeslaVision基于深度神经网络，能够对行车环境进行专业的解构分析，相比传统视觉处理技术可靠性更高。
Built on a deep neural network, Tesla Vision deconstructs the car's environment at greater levels of reliability than those achievable with classical vision processing techniques.

部分挑战源于神经网络非常复杂且难以解释的事实。
Part of the challenge stems from the fact that neural networks are very complex and hard to interpret.

选择较小的学习率有助于神经网络收敛到全局最小值，但是会花费很多时间。
Ng a small learning rate can help a neural network converge to the global minima but it takes a huge amount of time.

几乎所有基于递归神经网络中令人兴奋的成果都是用它们实现的。
Almost all exciting results based on recurrent neural networks are implemented by them.

现代人工视觉系统基于深度神经网络，依赖大规模标签数据来学会将图像映射成人为生成的场景描述。
Modern artificial vision systems are based on deep neural networks that consume large, labeled datasets to learn functions that map images to human-generated scene descriptions.

去年夏天，他一直致力于在Android上实现基于神经网络的应用程序。
He spent last summer working on implementing neural network based applications on Android.

虽然不属于神经网络，但是随机决策森林(RDF)对于一系列分类和回归问题也十分有用。
Random Decision Forests(RDF), which are not neural networks, are useful for a range of classification and regression problems.

Word2vec也包含预处理模型（preprocessingmode），它不属于深度神经网络。
Word2vec also contains preprocessing model which is not a deep neural network.

尽管算不上是神经网络，但它们确实类似于神经网络，并提供了BM和HN的理论基础。
While not really a neural network, they do resemble neural networks and form the theoretical basis for BMs and HNs.

基于神经网络和其他AI技术的创业公司开始寻求投资，其做法野心勃勃但不切实际。
Ventures based on neural networks and other AI technologies began to make unrealistically ambitious claims while seeking investments.