What is the translation of " 神经网络和深度学习 " in English?

• neural networks and deep learning

Examples of using 神经网络和深度学习 in Chinese and their translations into English

神经网络和深度学习系统。
Neural networks and deep learning systems.

本书将教你神经网络和深度学习背后的核心概念。
This book will teach you the core concepts behind neural networks and deep learning.

神经网络和深度学习》是免费的在线书籍。
Neural Networks and Deep Learning is a free online book.

神经网络和深度学习计算需要大量的计算资源和电力。
Neural networks and deep learning computations require huge amounts of compute resources and electricity.

神经网络和深度学习PDF.
Neural networks and deep learning pdf.

深度神经网络和深度学习是很强大和流行的算法。
Deep neural networks and Deep Learning are powerful and popular algorithms.

神经网络和深度学习是一本免费的在线书籍。
Neural Networks and Deep Learning is a free online book.

神经网络和深度学习是一本免费的在线书。
Neural Networks and Deep Learning is a free online book.

MichaelNielsen的NeuralNetworksandDeepLearning（神经网络和深度学习）一书.
Michael Nielsen's book Neural networks and deep learning.

使用神经网络和深度学习模型时需要准备数据。
Data preparation is required when working with neural network and deep learning models.

学习使用神经网络和深度学习解决现实问题.
Get acquainted with neural networks and Deep Learning to address real-world problems.

神经网络和深度学习技术是当今大多数高级智能应用的基础。
Neural networks and deep learning technologies underpin most of the advanced intelligent applications today.

神经网络和深度学习具有许多输入，这些输入在产生一个或多个输出之前要通过若干隐藏层。
Neural networks and deep learning have many inputs that go through several hidden layers before resulting in one or more outputs.

像Albert一样，Sands利用神经网络和深度学习智能地来处理大量的数据。
Like Albert, Sands uses neural networks and deep learning to process huge amounts of data intelligently.

神经网络和深度学习有许多输入，它们经过几个隐藏层后才产生一个或多个输出。
Neural networks and deep learning have many inputs that go through several hidden layers before resulting in one or more outputs.

如果你喜欢阅读而不是看视频讲座：神经网络和深度学习是一本免费的在线书籍，适合初学者进入这一领域。
If you prefer reading over watching video lectures: Neural Networks and Deep Learning is a free online book for beginners to the field.

你将有一个基础使用神经网络和深度学习来攻击你自己设计的问题。
And you will have a foundation to use neural networks and deep learning to attack problems of your own devising.

神经网络和深度学习目前提供了针对图像识别，语音识别和自然语言处理领域诸多问题的最佳解决方案。
Neural networks and deep learning at present present one of the best solutions to many problems in picture recognition, speech recognition, and natural language processing.

在看完这本书之后，你将写下使用神经网络和深度学习来解决复杂模式识别问题的代码。
After working through the book you will have written code that uses neural networks and deep learning to solve complex pattern recognition problems.

神经网络和深度学习并非新技术，最近这些技术才得以广泛运用主要是出于三个原因：.
Neural networks and deep learning are not new techniques; we see practical applications emerge now for three reasons:.

你将建成一个基础，使用神经网络和深度学习来解决你自己涉及到的问题。
And you will have a foundation to use neural networks and deep learning to attack problems of your own devising.

目前，致力于使这成为现实的尖端技术包括机器学习、人工神经网络和深度学习。
Currently, cutting-edge technologies striving to make this a reality include machine learning, artificial neural networks and deep learning.

因此，计算机视觉，神经网络和深度学习并不是同义词。
So, computer vision, neural networks, and deep learning are not synonymous.

整体了解人工智能的发展史，以及最新的神经网络和深度学习方法。
Get an overview of the history of artificial intelligence as well as the latest in neural network and deep learning approaches.

感知器是神经网络和深度学习的祖先，因此它们对于机器学习环境中的研究非常重要。
Perceptrons are the ancestor of neural networks and deep learning, so they are important to study in the context of machine learning..

如果你正在寻找神经网络和深度学习的深入介绍，但是这本书不适合你。
If you're looking for an in-depth introduction to neural networks and deep learning however, this book is not for you.

你将有一个基础使用神经网络和深度学习来攻击你自己设计的问题。
You have a basis to use neuronal nets and in-depth knowledge to tackle your own developmental development.

本书将教您神经网络和深度学习背后的许多核心概念。
This book will teach you many of the core concepts behind neural networks and deep learning.

神经网络和深度学习的角色：我已经探讨过机器学习会成为一个技术上的新机遇创建者。
The role of neural networks and deep learning: I have been talking broadly about machine learning as a creator of new opportunities for technology.

由于神经网络实际上是数据和数学运算的计算图，所以TensorFlow能很好地支持神经网络和深度学习。
Since neural networks are actually graphs of data and mathematical operations, TensorFlow is just perfect for neural networks and deep learning.