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Product Details 基本信息 ISBN-13 书号 9783031342363 Author 作者 Donghyeon Han Format 版本 精装 Pages Number 页数 190页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2023-08-11 Language 语种 其它（含多语） Book Contents 内容简介 Unlike most available sources that focus on deep neural network (DNN) inference, this book provides readers with a single-source reference on the needs, requirements, and challenges involved with on-device, DNN training semiconductor and SoC design. The authors include coverage of the trends and history surrounding the development of on-device DNN training, as well as on-device training semiconductors and SoC design examples to facilitate understanding. Focuses on the requirements and challenges of on-device deep neural network (DNN) training, rather than DNN inference;Provides guidelines for on-device, DNN training semiconductor or System-on-Chip (SoC)
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The Algorithm Design Manual 9783030542580
Product Details 基本信息 ISBN-13 书号 9783030542580 Author 作者 Skiena Pages Number 页数 793页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 20211006 Product Dimensions 商品尺寸 9.2 x 7 x 1.6 cm Shipping Weight 商品重量 2820g Book Description 内容简介 My absolute favorite for this kind of interview preparation is Steven Skiena s The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace graph problems are -- they should be part of every working programmer s toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. every 1 pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types. (Steve Yegge, Get that Job at Google) Steven Skiena s Algorithm Design Manual retains its title as the
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