神经网络是 - 翻译成英语

• neural networks are
• is this neural-network
• neural network is
• neural networks were

在 中文 中使用 神经网络是 的示例及其翻译为 英语

神经网络是机器学习算法的一个新时代，可以应用于许多任务，但是神经网络的训练需要巨大的计算复杂度。
Neural Networks are a new era of machine learning algorithms and can be applied for many tasks, but their training needs huge computational complexity.

首先要指出的是标准的神经网络是用MLE来进行优化的。
It is important to know that a standard neural network is typically optimised using MLE.

人工神经网络是机器学习系统，由称为人工神经元的大量连接节点组成。
Artificial neural networks are machine learning systems composed of a large number of connected nodes called artificial neurons.

粗略地说，神经网络是一组连接的输入/输出单元，其中每个连接都与一个权相相联。
A neural network is a set of connected input/output units in which each connection has a weight associated with it.

神经网络是机器学习的一种模型，它们至少有50年历史了。
Neural networks are one type of model for machine learning; they have been around for at least 50 years.

神经网络是许多不同的机器学习系统，协同工作和处理复杂数据的框架。
A neural network is a framework for many different machine learning systems to work together and process complex data.

相反，神经网络是连接的，简单的计算器的集合，仅从真实神经元和它们之间的连接获得松散的灵感。
Rather, neural networks are collections of connected, simple calculators, taking only loose inspiration from true neurons and the connections between them.

神经网络是一种进行机器学习的方法，计算机通过分析训练样例来学习执行某些任务。
Neural network is a means of doing machine learning, in which a computer learns to perform some task by analyzing training examples.

有许多科学家认为，简洁是一种“机械”性质，而“意识”神经网络是一种现实的可能性。
There are a number of scientists arguing that consciousness is a‘mechanical' property and that‘conscious' neural networks are a realistic possibility.

大家不妨去看看我们发表的博客，用更加通俗易懂的语言向大家介绍神经网络是什么以及它是怎么工作的。
Go check out our blog post to understand in plain language more about what neural networks are and how they work.

有许多科学家认为，简洁是一种“机械”性质，而“意识”神经网络是一种现实的可能性。
There is a number of scientists arguing that conciousness is a‘mechanical' property and that‘consious' neural networks are a realistic possibility.

神经网络是强大的学习模型，特别是用于解决视觉识别和语音识别问题的深度学习网络。
Neural network are powerful learning models especially deep learning networks on visual and speech recognition problems.

记忆增强神经网络是利用RNN作为外部记忆网络的元学习方法之一。
Memory-Augmented Neural Networks is among the meta-learning methods employing an external memory network with RNN.

但该神经网络是为了无论何时都能支持他的讲话而做出调整的。
But the neural network was tuned to favor his speech whenever possible.

如今神经网络是程序化交易系统的功能显著增加的体现。
Today's neural networks represent a significant increase in functionality over programmatic trading systems.

人工神经网络是模仿人类大脑和神经系统的计算机系统，而深度学习也是AI进步的原因。
Artificial neural networks, which are computer systems modeled on the human brain and nervous system, and deep learning are also responsible for advances in AI..

今天，神经网络是AI领域的最新一个扩增，但就像其前辈一样，都面临着很大的压力来解决所有问题。
Today, neural is the latest addition to the AI landscape, and- like its predecessors- is under a lot of pressure to solve everything.

标记足够的数据，或将足够的未标记数据引入神经网络是一个挑战。
Tagging sufficient data, or introducing sufficient unlabeled data to a neural network is a challenge.

神经网络是硬件开发人员的移动目标.
Neural networks are a moving target for hardware developers.

现代神经网络是非线性统计数据建模工具。
Modern neural networks are non linear statistical modeling tools.