TO NEURAL NETWORKS in Chinese translation

• 与神经网络

Examples of using To neural networks in English and their translations into Chinese

HE-Transformer effectively adds an abstraction layer that can be applied to neural networks on open source frameworks such as Google's TensorFlow, Facebook's PyTorch, and MXNet.
HE-Transformer可助力开发过程，通过提供可应用于开源框架（如谷歌的TensorFlow，Facebook的PyTorch和MXNet）上的神经网络的抽象层。

Nonlinear optimization algorithms, and their practical application to neural network training, are discussed in detail in Bishop and Nabney(2008).
非线性最优化算法，以及它们对于神经网络训练的实际应用，在BishopandNabney(2008)中有详细的讨论。

Massive scalability is the key to neural networks.
大规模的可扩展性是神经网络的关键。

It essentially offered a form of memory or context to neural networks.
它主要提供了一种记忆形式，或者说是一种神经网络的环境。

Let's now look at how to apply these ideas to neural networks.
现在来看看如何将这些想法应用于神经网络。

The machine learning course goes from linear regression to neural networks in 5 weeks.
机器学习课程在5周内从线性回归到神经网络。

The move from phrase-based machine translation to neural networks has yielded a significant improvement in overall quality.
从基于统计和基于短语的机器翻译到基于神经网络这一转变已经显著提高了机器翻译的整体质量。

More specifically, scientists have developed effective ways to categorize most types of data including images and natural language thanks to neural networks.
更具体地说，多亏了神经网络，科学家已经开发出有效的方法来分类大多数类型的数据，包括图像和自然语言。

In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks..
在这本书中，你从机器学习基础开始，然后继续学习神经网络，深度学习，然后是卷积神经网络。

In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks..
在本书中，您将从机器学习基础开始，然后转向神经网络，深入学习，然后进行卷积神经网络。

The field of Natural Language Processing is shifting from statistical methods to neural network methods.
自然语言处理领域正在从统计方法转变为神经网络方法。

The field of Natural Language Processing is shifting from statistical methods to neural network methods.
自然语言处理领域正从统计模型转到神经网络模型。

Sep The field of natural language processing is shifting from statistical methods to neural network methods.
自然语言处理领域正在从统计学方法转向神经网络方法。

There are several scientists who are interested in finding alternatives to neural network- only approaches.
有几位科学家对寻找仅神经网络方法的替代方法感兴趣。

Once the network becomes more active, some part of hardware may be changed to neural network usage.
一旦系统变得更有效率，一些硬件可以转换为神经网络使用。

Attempts have also been made to apply neural networks to analysis.
同样，我们也一直在尝试将其应用于对神经网络的研究。

RNNs sometimes refer to recursive neural networks, but most of the time they refer to recurrent neural networks.
RNNs有时表示递归神经网络（recursiveneuralnetworks），但大多时候，它们指的是循环神经网络（recurrentneuralnetworks）。

A Beginners Guide to Neural Networks with Python and SciKit Learn 0.18!
Python和Scikit-learn的神经网络初学者指南0.18!

Facebook switches entirely to neural networks for 4.5 billion translations a day.
年：Facebook完全转为使用神经网络，每天的翻译量达到45亿次.

The latest improvements to neural networks are called deep learning.
神经网络的最新改进被称为深度学习。