在 中文 中使用 的神经网络可以 的示例及其翻译为 英语
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这样的神经网络可以从期望行为的样本中学习简单的程序。
Neural networks can learn simple programs from examples of desired behavior.这样的神经网络可以从期望行为的例子中学习简单的程序。
Neural networks can learn simple programs from examples of desired behavior.无监督的神经网络可以用来发现新的模式和异常。
Unsupervised Neural Networks can be used to find new patterns and anomalies.适应性的神经网络可以用来精简冗余的连接和感知器。
Adaptive neural networks can be used to prune redundant connections and perceptrons.学习可以被监督或不受监督，这意味着大的神经网络可以接受标记的输入，但不需要它。
Learning 谷歌大脑（GoogleBrain）项目启动，它的深层神经网络可以像猫一样识别并分类物体。
Google Brain is developed, and its deep neural network can learn to discover and categorize objects similar to a cat.大规模的光学神经网络可以以光速和较低的能耗运行从图像识别到科学研究等计算密集型应用。
Large-scale optical neural networks can run compute-intensive applications ranging from image recognition to scientific research at the speed of light and with lower energy consumption.Rekognition的神经网络可以处理每一秒的视频内容，用元数据对其进行描述，并标记可能有害的图像。
Rekognition's neural network can process every second of the video, describe it using metadata, and flag potentially harmful imagery.虽然一直以来Python都是机器学习的重要语言，但目前的神经网络可以在任何语言中运行，包括Java…!
While traditionally Python has been the go-to language for machine learning,nowadays neural networks can run in any language, including JavaScript!这也意味着较低频率的组件（通常是您的预期数据）也会失真，但你的神经网络可以学会超越它。
This also means that lower frequency components(usually, your intended data)are also distorted, but your neural network can learn to look past that.有更多的复杂场景时，更深度的神经网络可以得到更好的结果。
With more complex scenarios, deeper neural networks can be much better.然而，有一种类型的神经网络可以利用形状信息：卷积网络。
However, there is a type of neural network that can take advantage 我预测在未来5年的时间里，我们的神经网络可以概括视频里发生了什么，而且有能力生成短视频。
We will have neural networks that can summarize what happens in a video clip, and will be able to generate short videos.我也不相信我们会找到一个真的易于描述的神经网络可以实现人工智能。
Nor do I think wewill ever find a really easily-described neural network that can implement artificial intelligence.用于老年人护理的神经网络可以节省数百万美元.
自学物理学原理的神经网络可以帮助解决量子力学的奥秘.
A neural network that teaches itself the laws of physics could help to solve quantum-mechanics mysteries.安全发现潜在药物的神经网络可以鼓励大规模收集敏感数据。
Neural network that finds potential drugs could encourage large-scale pooling of sensitive data.但是在大量文本上训练的神经网络可以准确地执行许多NLP任务。
但是在大量文本上训练的神经网络可以准确地执行许多NLP任务。
However, neural networks trained with large amounts of text can perform many NLP tasks accurately.强大的，受过良好教育的神经网络可以模拟广泛的人类模式识别能力。
A powerful, well-taught neural net can emulate a wide range of human pattern-recognition faculties.Nord等人意识到，经过数千个镜头训练的神经网络可以获得类似的感知。
Nord and others realized that a neural network, trained on thousands of lenses, can gain similar intuition.这里的例子可以证明：通过随机梯度下降训练的神经网络可以适用于随机分配的标签[81]。
Notable examples of this include a demonstration that neural networks trained by stochastic gradient descent can fit randomly-assigned labels[81].在这个迷人的演示中，他展示了训练如何识别图像的神经网络可以反向运行，以生成它们。
In this captivating demo, he shows how neural nets trained to recognize images can be run in reverse, to generate them.但早期的神经网络可以模拟的神经元数量是极其有限的，这也意味着，他们不能识别复杂的模式。
But early neural networks were extremely limited in the number of neurons they could simulate, which meant 去年，一群来自哈佛大学和贝斯o以色列迪肯的研究人员与他们的神经网络进行了一项成像竞赛，他们的神经网络可以检测出乳腺癌。
Last year, a group of researchers from Harvard andBeth Israel Deacon entered an imaging competition with their neural network that can detect breast cancer.下一篇谷歌的多任务神经网络可以同时兼顾八件事.
Google's multitasking neural net can juggle eight things at once.例如，通过分析行人的照片，神经网络可以学习识别行人。
By analyzing photos of pedestrians, for example, a neural network can learn to identify 如果是在乡村公路上正面观察，深度学习的神经网络可以自信地准确识别出校车。
When viewed head-on on a country road, a deep-learning neural network confidently and correctly identifies the bus.本文主配图展示的是Atomwise的模拟药物研究，其中的神经网络可以学习识别化学官能团。
Main image for this storyshows Atomwise's simulated drug research in which a neural network learns to recognize chemical functional groups.
