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深度学习入门 : 基于Python的理论与实现
book

深度学习入门 : 基于Python的理论与实现

by 斋藤康毅
July 2018
Intermediate to advanced
310 pages
8h 21m
Chinese
Posts & Telecom Press
Content preview from 深度学习入门 : 基于Python的理论与实现
译者序
深度学习的浪潮已经汹涌澎湃了一段时间了,市面上相关的图书也已经
出版了很多。其中,既有知名学者伊恩·古德费洛(
Ian Goodfellow
)等人撰
写的系统介绍深度学习基本理论的《深度学习》,也有各种介绍深度学习框
架的使用方法的入门书。你可能会问,现在再出一本关于深度学习的书,是
不是“为时已晚”?其实并非如此,因为本书考察深度学习的角度非常独特,
它的出版可以说是“千呼万唤始出来”。
本书最大的特点是“剖解”了深度学习的底层技术。正如美国物理学家
理查德· 曼(
Richard Phillips Feynman
)所
What I cannot create, I
do not understand
.”只有创造一个东西,才算真正弄懂了一个问题。本书就
是教你如何创建深度学习模型的一本书。并且,本书不使用任何现有的深度
学习框架,尽可能仅使用最基本的数学知识和
Python
库,从零讲解深度学
习核心问题的数学原理,从零创建一个经典的深度学习网络。
本书的日文版曾一度占据了东京大学校内书店(本乡校区)理工类图书
的畅销书榜首。各类读者阅读本书,均可有所受益。对于非
AI
方向的技术
人员,本书将大大降低入门深度学习的门槛;对于在校的大学生、研究生,
本书不失为学习深度学习的一本好教材;即便是对于在工作中已经熟练使用
框架开发各类深度学习模型的读者,也可以从本书中获得新的体会。
本书从开始翻译到出版,前前后后历时一年之久。译者翻译时力求忠于
原文,表达简练。为了保证翻译质量,每翻译完一章后,译者都会放置一段 ...
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Publisher Resources

ISBN: 9787115485588