What is the translation of " NEURAL NETWORK MODELS " in Chinese?

• 神经网络模型

Examples of using Neural network models in English and their translations into Chinese

A GAN has two competing neural network models.
GANs中包含两个相互竞争的神经网络模型。

They also plan to build neural network models that mimic the brain's ability to perceive the environment.
他们还计划建立神经网络模型，模仿大脑感知环境的能力。

A GAN has two competing neural network models.
一个GAN中包含两个相互竞争的神经网络模型。

However, more typical neural network models are made up of much more complicated functions than our y=x⋅p model..
然而，更典型的神经网络模型是由比y=xp模型复杂得多的函数组成的。

The main idea behind a GAN is to have two competing neural network models.
一个GAN中包含两个相互竞争的神经网络模型。

Developing and training deep neural network models fast is key to delivering highly accurate perception systems for autonomous vehicles.
快速开发和训练深度神经网络模型，是为自动驾驶汽车提供高度精确感知系统的关键。

Many people thought these limitations applied to all neural network models.
许多人认为这些限制适用于所有的神经网络模型。

In this post, you will discover how deep neural network models can be used to automatically generate descriptions for images, such as photographs.
在这篇文章中，你将了解可以如何使用深度神经网络模型为照片等图像自动生成描述。

Developers who buy this kit get software with three pre-trained neural network models.
购买了该套件的开发者可以获得三个预先训练好的神经网络模型。

Machine learning algorithms and in particular neural network models, require vast amounts of training data.
进入大数据时代，机器学习的模型、尤其是神经网络的模型，都需要大量数据来进行训练。

There are many forms of connectionism, but the most common forms use neural network models.
联结主义有许多不同的形式，但最常见的形式利用了神经网络模型。

Artificial neural network models have a property called'capacity', which roughly corresponds to their ability to model any given function.
人工神经网络模型有一个属性，称为“容量”，这大致相当于他们可以塑造任何函数的能力。

Blocks is a framework that helps you build neural network models on top of Theano.
Blocks是一种帮助你在Theano之上建立神经网络模型的框架。

In this winter quarter course students will learn to implement, train, debug, visualize and invent their own neural network models.
在这个冬季课程中，学生将学习执行、训练、调试、可视化和创造他们自己的神经网络模型。

One of the critical challenges in the development of neural network models is to select the correct framework.
开发神经网络模型的关键挑战之一在于选择正确的框架。

There are many different forms of connectionism, but the most common forms utilize neural network models.
联结主义有许多不同的形式，但最常见的形式利用了神经网络模型。

Data scientists and researchers can now rapidly build, train, and deploy neural network models to address some of the most complicated AI challenges.
数据科学家和研究者现在可以快速构建、训练和部署神经网络模型来解决部分最复杂的AI挑战。

Through lectures, assignments and a final project, students will learn the necessary skills to design, implement, and understand their own neural network models.
通过讲座、作业和期末专题，学生将学习设计、实施和理解自己的神经网络模型所需的必要技能。

Blocks is a framework that aids you in building neural network models on top of Theano.
Blocks是一种帮助你在Theano之上建立神经网络模型的框架。

Deep learning, using recurrent neural network models, can aid in solving difficult prediction problems that have puzzled medical professionals for decades.
使用递归神经网络模型的深度学习可以帮助解决困扰了医学专业人员几十年的棘手的预测问题。

The perceptron(an invention of Rosenblatt[1962]), was one of the earliest neural network models.
感知器（由Rosenblatt[1962]发明）是最早的人工神经网络模型。

Ledbetter and his team fed these into two separate neural network models, using TITAN X GPUs to complete the training in a matter of hours.
Ledbetter和他的团队将这些信息分为两个单独的神经网络模型，使用TITANXGPU在数小时内即可完成训练。

Examples of common computational models are weather forecasting models, earth simulator models, flight simulator models, molecular protein folding models, and neural network models.
常见的计算模型有天气预报模型、地球模拟器模型、飛行模擬器模型、分子蛋白质折叠模型和神经网络模型。

Google said the provided software includes three TensorFlow-based neural network models for different vision applications.
所提供的软件包括三种基于TensorFlow的神经网络模型，适用于不同的视觉应用。

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.
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。

It is also extremely difficult to explain the behavior of complex, nonlinear neural network models trained over huge data sets.
解释在大数据集上训练的复杂非线性神经网络模型的行为也很困难。

Google also provides software that includes three TensorFlow-based neural network models for different vision applications.
所提供的软件包括三种基于TensorFlow的神经网络模型，适用于不同的视觉应用。

NeuroSolutions Infinity will likely create tens, hundreds and in some cases thousands of neural network models as it searches for the optimal solution.
NeuroSolutionsInfinity可能会创建数以千万计,在某些情况下,成千上万的神经网络模型,寻找最优的解决方案。