What is the translation of " NEURAL NETWORKS AND DEEP LEARNING " in Chinese?

['njʊərəl 'netw3ːks ænd diːp 'l3ːniŋ]
['njʊərəl 'netw3ːks ænd diːp 'l3ːniŋ]
neural networks and deep learning

Examples of using Neural networks and deep learning in English and their translations into Chinese

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Neural networks and deep learning pdf.
This book will teach you the core concepts behind neural networks and deep learning.
本书将教你神经网络和深度学习背后的核心概念。
Neural networks and deep learning systems.
神经网络和深度学习系统。
Michael Nielsen's book Neural networks and deep learning.
MichaelNielsen的NeuralNetworksandDeepLearning(神经网络和深度学习)一书.
Neural Networks and Deep Learning is a free online book.
神经网络和深度学习》是免费的在线书籍。
This book will teach you many of the core concepts behind neural networks and deep learning.
本书将教授许多神经网络和深度学习背后的核心概念。
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。
This book will teach you many of the core concepts behind neural networks and deep learning.
本书将会教你在神经网络和深度学习背后的众多核心概念。
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籍。
This book will teach you many of the core concepts behind neural networks and deep learning.
这本书将教给你很多的神经网络和深度学习背后的核心概念。
Neural Networks and Deep Learning is a free online book.
神经网络与深度学习》是一本免费的在线电子书。
And you will have a foundation to use neural networks and deep learning to attack problems of your own devising.
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。
Neural Networks and Deep Learning by Michael Nielsen.
神经网络与深度学习byMichaelNielsen.
And you will have a foundation to use neural networks and deep learning to attack problems of your own devising.
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。
Neural Networks and Deep Learning is a free online book.
Gitbook神经网络和深度学习是一本免费的在线书。
If you prefer reading over watching video lectures: Neural Networks and Deep Learning is a free online book for beginners to the field.
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。
Deep neural networks and Deep Learning are powerful and popular algorithms.
深度神经网络和深度学习是很强大和流行的算法。
After working through the book youwill have written code that uses neural networks and deep learning to solve complex pattern recognition problems.
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。
Neural networks and deep learning technologies underpin most of the advanced intelligent applications today.
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。
Currently, cutting-edge technologies striving to make this a reality include machine learning,artificial neural networks and deep learning.
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
So, computer vision, neural networks, and deep learning are not synonymous.
因此,计算机视觉,神经网络和深度学习并不是同义词。
Quick Note: Some of the images, including the one above,I used came from this terrific book,“Neural Networks and Deep Learning” by Michael Nielsen.
注意:包括上图在内的一些图片来自于MichealNielsen的「神经网络与深度学习(NeuralNetworksandDeepLearning)」一书。
Neural networks and deep learning computations require huge amounts of compute resourcesand electricity.
神经网络和深度学习计算需要大量的计算资源和电力。
Quick Note: Some of the images, including the one above,I used came from this terrific book,“Neural Networks and Deep Learning” by Michael Nielsen.
快速注意:我使用的一些图像,包括上面的图像,来自MichaelNielsen的"NeuralNetworksandDeepLearning",强烈推荐)。
Like Albert, Sands uses neural networks and deep learning to process huge amounts of data intelligently.
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。
Neural networks and deep learning are not new techniques; we see practical applications emerge now for three reasons:.
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:.
Today, his Neural Networks and Deep Learning is part of the Deep Learning specialization at Coursera.
今天,他的神经网络和深度学习也是Coursera深度学习专业的一部分。
Neural networks and deep learning have many inputs that go through several hidden layers before resulting in one or more outputs.
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.
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 at present present one of the best solutions to many problems in picture recognition, speech recognition, and natural language processing.
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。
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