Examples of using 经网络 in Chinese and their translations into English
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因此理论上，神经元网络可以执行任何计算。
产品都经网络销售!
复杂的神经元网络是怎样形成的？?
产品都经网络销售!
All three properties will be sold via Network Auctions!神经网络凭借其并行和分布式处理的能力而在1980年代中期兴起。
Neural networks flourished in the mid-1980s due to their parallel and distributed processing ability.我告诉她，每个人都经历过网络上的“干法术”，一个新的男人将在几周内出现。
I told her that everyone goes through online dry spells and that a new guy will emerge in a matter of weeks.图卷积神经网络可以基于树结构运行（Bastings等人，2017）。
And graph-convolutional neural networks can operate over a tree(Bastings et al., 2017).最近，图神经网络（GNN）在各种领域越来越流行，包括社交网络，知识图，推荐系统，甚至生命科学。
Recently, Graph Neural Network(GNN) has gained increasing popularity in various domains, including social network, knowledge graph, recommender system, and even life science.当时，40%的受访者表示他们曾亲身经历过网络骚扰，73%的受访者称他们看过别人身上发生过这种事情。
At that time,40 percent of those surveyed reported experiencing online harassment and 73 percent reported seeing it happen to someone else.它揭示出了神经元网络是如何共同相互作用来处理信息的。
It reveals how networks of neurons interact together to process information.RT表示，这张照片经网络疯传后引发众怒，许多人将其拿来与蕴含种族主义的照片和美国的奴隶制时代相提并论。
The image ignited outrage online after it went viral, with many drawing comparisons to racist images and the era of slavery in the US.我们能够建立一个人造卷积神经网络，使用TensorFlow可以以78％的精度识别图像。
We were able to build an artificial convolutional neural network that can recognize images with an accuracy of 78% using TensorFlow.廉价图形处理单元的可用性已经使卷积神经网络在某些应用(例如图像识别)方面具有商业实用性。
The ready availability of inexpensive Graphics ProcessingUnits has made Convolutional Neural Networks commercially practical for some uses such as image recognition.当我们说卷积神经网络（CNN）时，通常是指用于图像分类的2维CNN。
When we say Convolution Neural Network(CNN), generally we refer to a 2 dimensional CNN which is used for image classification.这种复杂的神经元网络称为躯体神经系统，它不同于负责味觉和嗅觉的系统。
Called the somatosensory system, this complex network of neurons is different from the systems responsible for taste and smell.然而，在进一步研究之前，首先应了解人工神经网络（ANN）是什么。
However, before going any further,we first have to understand what an Artificial Neural Network or ANN is.科学家设法生产出一种含有人工神经元网络的芯片，可以模拟神经元及其突触的行为。
The scientists produced 这些操作的前提是，没有任何人明确告知神经网络，罗马之于意大利等同巴黎之于法国。
信息的传输、路由、提供连接及存储是通过必要的自动的技术处理过程实现的，信息未经网络服务提供者选择；.
The information transmission, routing, storage and provides a connection is achieved through technological process automatically the necessary information,not by Internet service providers;这种方法让他能把特定的人造神经元绘制成人类可理解的概念或对象，比如脸，这能帮助神经元网络转变成直观的工具。
This approach lets him map certain artificial neurons to human-understandable ideas or objects, like faces,which could help turn neural networks into intuitive tools.经网络，这也是一个问题。
The social network, also a problem.如果人们只追神经网络的潮流，抛弃所有老方法；.
然后，研究人员将他们的新神经网络系统装入NIKI。
Then, the researchers loaded Niki with their new neural network system.训练过程就是教神经网络学习那些我们想让其学习的东西。
The hard part is training these neural networks so they learn what we want them to.摘要：如果人们只追神经网络的潮流，抛弃所有老方法；.
If people only follow the trend of neural networks and abandon all the old methods;本质上，MCTS的所有搜索都被提炼成神经网络的新权值。
In essence, all of 新的深神经网络模型运行在高性能GPU上，处理着大量的数据。
The new, deep neural network model runs on high performance GPUs and ingests large amounts of data.也许神经网络最令人兴奋的方面是有可能会产生一些“意识”网络。
Perhaps the most exciting aspect of neural networks is the possibility that some day‘consious'也许神经网络最令人兴奋的方面是有可能会产生一些“意识”网络。
Perhaps the most exciting feature of neural networks is the likelihood that some day‘conscious'也许神经网络最令人兴奋的方面是有可能会产生一些“意识”网络。
The most exciting aspect of neural networks is that there is a possibility that one-day'conscious' 
