人工神经网络 - 翻译成英语

• artificial neural network
• artificial neural networks
• anns

在 中文 中使用 人工神经网络 的示例及其翻译为 英语

深度学习的灵感来自人脑神经元，多层人工神经网络进行学习，理解和推断的能力。
Deep learning is inspired by the ability of human brain neurons, multilayer artificial neural networks to learn, understand, and infer.

科学家们已经从DNA中开发出一种人工神经网络，能够识别嘈杂和高度复杂的分子信息。
Scientists have developed an artificial neural network out of DNA that can recognize highly complex and noisy molecular information.

这种反馈是监督学习的基础，其中包括大部分模式分类，人工神经网络和系统识别。
This kind of feedback is the basis of supervised learning, which includes large parts of pattern classification, artificial neural networks, and system identification.

是一种人工神经网络，用于高效编码的无监督学习。
It is an artificial neural network used for unsupervised learning of efficient codings.

辛顿在接受英国广播公司(BBC)采访时说，多年来大家都觉得人工神经网络不值一提。
In an interview with the BBC, Hinton said that over the years everyone felt that artificial neural networks were not worth mentioning.

上世纪80年代，科学家开始使用人工神经网络模型帮助计算机完成模式识别任务，并模拟人脑的智能。
In the 80, scientists began using artificial neural network models to help computers complete pattern recognition tasks and simulate the intelligence of the human brain.

然而，加州大学洛杉矶分校的一个工程师团队创造了一个物理人工神经网络，而不仅仅是一种新型的软件。
However, a team of UCLA engineers created a physical artificial neural network rather than just a new type of software.

机器学习的挑战之一是不可能确切地看到人工神经网络如何解决任务。
One of the challenges of machine learning is that it is not possible to see exactly how an artificial neural network solves a task.

ANNVisualizer是一个python库，它使我们能够使用一行代码就可视化人工神经网络。
ANN Visualizer is a python library that enables us to visualize an Artificial Neural Network using just a single line of code.

人工神经网络使用的这一革命鼓励行为神经科学家使用这种网络对实验对象的复杂行为进行评分。
This revolution in the use of artificial neural networks has encouraged behavioural neuroscientists to use such networks for scoring the complex behaviour of experimental subjects.

然而，我们并未提及人工神经网络最重要的方面----学习。
Nevertheless, we still haven't mentioned the most important aspect of the Artificial Neural Networks- learning.

Phoenix说，人工神经网络一个最明显的不足是，信息是单向流动的。
One of the most glaring shortcomings of artificial neural networks, Phoenix says, is that information flows only one way.

而在人工神经网络中，信号也在“神经元”之间传播。
In an artificial neural network, signals also travel between'neurons‘.

但实际上直到最近几年，人工神经网络的开发和运行还不切实际，因为这样的神经网络需要消耗大量的计算资源。
Except that until recent years, the creation and operation of artificial neural networks was impractical because of the immense amount of computation they require.

深度学习网络也称人工神经网络，它们越来越多地被用于生物数据分析自动化。
Deep-learning networks, also known as artificial neural networks, are increasingly being used to automate biological data analysis.

这些人工神经网络可以收集信息，也可以对其做出反应。
These artificial neural nets can gather information, and they can react to it.

针对这些缺点，叛逆的研究人员开始提倡人工神经网络，或连接主义人工智能，也就是今天深层次学习系统的前身。
In response to these shortcomings, rebel researchers began advocating for artificial neural networks, or connectionist AI, the precursors of today's deep-learning systems.

其中介绍了人工神经网络的基本结构以及一些最常用的激活函数。
The basic structure of Artificial Neural Networks was presented, as well as some of the most commonly used activation functions.

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.

为了应对这些缺点，另一派研究人员开始倡导人工神经网络或连接人工智能，他们是当今深度学习系统的先驱。
In response to these shortcomings, rebel researchers began advocating for artificial neural networks, or connectionist AI, the precursors of today's deep-learning systems.