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Learning Deep Architectures for AI 2024 pdf epub mobi 电子书

Learning Deep Architectures for AI
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发表于2024-12-22

Learning Deep Architectures for AI 2024 pdf epub mobi 电子书

Learning Deep Architectures for AI 2024 pdf epub mobi 电子书

Learning Deep Architectures for AI 2024 pdf epub mobi 电子书


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具体内容： More precisely ,functions that can be compactly represented by a depth k architecture might require an exponential number of computational elements to be represented by a depth k-1 architecture. 这句意思是k-1层架构可以表示的函数需要的计算元素...

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讲的比较清晰，提供了关键的数学计算内容，作为综述来看是很不错的选择。但是不亲自推一遍细节很难透彻理解，需要一些机器学习、随机过程、信息论和最优化理论的知识。理论框架介绍的很清楚，有助于理解目前各类变种。  

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具体内容： More precisely ,functions that can be compactly represented by a depth k architecture might require an exponential number of computational elements to be represented by a depth k-1 architecture. 这句意思是k-1层架构可以表示的函数需要的计算元素...

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具体内容： More precisely ,functions that can be compactly represented by a depth k architecture might require an exponential number of computational elements to be represented by a depth k-1 architecture. 这句意思是k-1层架构可以表示的函数需要的计算元素...

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具体内容： More precisely ,functions that can be compactly represented by a depth k architecture might require an exponential number of computational elements to be represented by a depth k-1 architecture. 这句意思是k-1层架构可以表示的函数需要的计算元素...

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出版者:
作者:Yoshua Bengio
出品人:
页数:136
译者:
出版时间:
价格:695.00 元
装帧:散装
isbn号码:9781601982940
丛书系列:

图书标签: 深度学习  机器学习  人工智能  神经网络  AI  计算机  计算机科学  programming   

Learning Deep Architectures for AI 2024 pdf epub mobi 电子书 图书描述

Theoretical results suggest that in order to learn the kind of complicated

functions that can represent high-level abstractions (e.g., in

vision, language, and other AI-level tasks), one may need deep architectures.

Deep architectures are composed of multiple levels of non-linear

operations, such as in neural nets with many hidden layers or in complicated

propositional formulae re-using many sub-formulae. Searching

the parameter space of deep architectures is a difficult task, but learning

algorithms such as those for Deep Belief Networks have recently been

proposed to tackle this problem with notable success, beating the stateof-

the-art in certain areas. This monograph discusses the motivations

and principles regarding learning algorithms for deep architectures, in

particular those exploiting as building blocks unsupervised learning of

single-layer models such as Restricted Boltzmann Machines, used to

construct deeper models such as Deep Belief Networks.

Learning Deep Architectures for AI 2024 pdf epub mobi 电子书
Learning Deep Architectures for AI 2024 pdf epub mobi 电子书
想要找书就要到 本本书屋
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

Learning Deep Architectures for AI 2024 pdf epub mobi 用户评价

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Deep Belief Networks / Restricted Boltzmann Machine

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Deep Belief Networks / Restricted Boltzmann Machine

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RBM开始实在跟不上了，弃…前面的intuition挺有意思的…

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非常insightful的小书，把deep learning背后的philosophy以及现有的一些results阐述得很清楚。DL现在应用很广，炒得很火，体系千疮百孔，这是好事。Bengio通过此书指了些明路。另此书不适合DL入门。

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相见恨晚。把Hinton的papers翻了个遍，没想到在这本书上才让我对RBM的认识最深刻。

Learning Deep Architectures for AI 2024 pdf epub mobi 电子书

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