• A branch of AI known as deep learning, has shown so useful.

    深度学习作为人工智能一个分支现已被证明是非常有用的。

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  • What's the Difference Between Deep Learning Training and Inference?

    深度学习训练推理有不同?

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  • Deep learning refers to the method of training multi-layer artificial neural networks.

    深度学习训练多层人工神经网络方法

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  • This book will teach you many of the core concepts behind neural networks and deep learning.

    这本告诉许多神经网络深度学习后面核心概念

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  • Will you tell us a story?” said the queen, “one that is instructive and full of deep learning.”

    故事好吗?”王后,“讲高深而富有教育意义的故事。”

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  • The idea of learning the right representation for the data provides one perspective on deep learning.

    学习数据正确特征表达看待深度学习的一种观点

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  • A framework for deep learning for dynamic online discussion in distance education is illustrated in...

    本文阐述了远程教育进行面向深层学习动态在线讨论一个框架

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  • The platform USES sophisticated computer vision and deep learning to understand and then augment a scene.

    平台采用先进的计算机视觉深入学习算法了解以及增强一个场景

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  • Another perspective on deep learning is that it allows the computer to learn a multi-step computer program.

    关于深度学习另一种观点就是使得计算机能够学习多步的计算机程序

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  • It seems like every time deep learning is applied to a task, it produces the best-ever results for that task.

    似乎每一深度学习应用任务当中,都会产生最佳结果

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  • IF YOU know what deep learning and functional skills are, then you are already on the way to understanding eduspeak.

    如果知道深度学习功能性技能什么,理解“教育话“不远了。

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  • A framework for deep learning for dynamic online discussion in distance education is illustrated in this paper.

    本文阐述了远程教育进行面向深层学习动态在线讨论一个框架

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  • And you will have a foundation to use neural networks and deep learning to attack problems of your own devising.

    并且拥有使用神经网络深度学习解决自己发现问题的基础

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  • The big limitation of deep learning is that almost all the value it's creating is in these input-output mappings.

    深度学习所面临个重要限制创造几乎所有价值输入-输出映射当中。

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  • The quintessential example of a deep learning model is the feedforward deepnetwork or multilayer perceptron (MLP).

    深度学习模型一个典型例子前馈深度网络,或者说多层感知器(MLP)。

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  • But with our deep learning technology, it can help an advertiser select a small image to show the user along with the text.

    有了深度学习技术可以帮助广告商选择在向用户提供文本同时展示一个图片

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  • It will use computer vision, sensors and deep learning algorithms to keep track of what customers are picking up off the shelves.

    系统使用机械视觉、感应器深度学习算法跟踪记录顾客从货架上选取商品。

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  • The purpose of this book is to help you master the core concepts of neural networks, including modern techniques for deep learning.

    这本目标帮助掌握神经网络核心概念包括深度学习前沿技术

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  • In taking on the more intractable challenges, Google is looking to draw on deep learning, the most advanced form of machine learning.

    为了应对棘手挑战谷歌正在寻求利用深度学习——机器学习最高级形式

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  • What's happened recently is the deep learning approaches have started showing an ability to understand language for many different tasks, he said.

    最近出现情况深度学习方法开始很多不同任务表现出了理解语言能力称。

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  • After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.

    完成本书学习后,可以编写代码使用神经网络深度学习解决复杂模式识别问题

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  • Mental energy can be increased through the stress and conditioning method, through challenging mental study and tasks, deep learning and creative activities.

    心理能量可以压力调节方法通过富有挑战性精神研究任务通过深入学习创作活动加强

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  • This approach (which Geoffrey Hinton of the University of Toronto, a doyen of the field, has dubbed "deep learning") need not be confined to computer-vision.

    这种方法这个领域资深科学家,多伦多大学GeoffreyHinton称为深度学习”(见注释5),它不必仅限于处理计算机视觉问题。

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  • What's more, we'll improve the program through many iterations, gradually incorporating more and more of the core ideas about neural networks and deep learning.

    更进一步我们通过多次迭代来提升这个程序效果,逐渐触及越来越神经网络与深度学习的核心概念

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  • Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.

    神经网络深度学习现在解决许多问题提供最佳解决方案,例如图像识别语音识别自然语言分析

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  • Deep learning solves this central problem in representation learning by introducing representations that are expressed in terms of other, simpler representations.

    通过引入由许多更简单浅层表达组合得到高层表达,深度学习解决了表达学习这个中心问题

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  • We use deep learning to try to predict a day in advance when a hard disk is going to fail, and this increases the reliability and reduces the cost of our data centers.

    我们使用深度学习尝试提前预测硬盘会在哪出现故障提高了我们数据中心的可靠性降低了成本

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  • We use deep learning to try to predict a day in advance when a hard disk is going to fail, and this increases the reliability and reduces the cost of our data centers.

    我们使用深度学习尝试提前预测硬盘会在哪出现故障提高了我们数据中心的可靠性降低了成本

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