Deep Learning for Computer Architects (Record no. 85449)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04140nam a22005535i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-01756-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730164224.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220601s2017 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031017568 |
| -- | 978-3-031-01756-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.3815 |
| 100 1# - AUTHOR NAME | |
| Author | Reagen, Brandon. |
| 245 10 - TITLE STATEMENT | |
| Title | Deep Learning for Computer Architects |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XIV, 109 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Computer Architecture, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Preface -- Introduction -- Foundations of Deep Learning -- Methods and Models -- Neural Network Accelerator Optimization: A Case Study -- A Literature Survey and Review -- Conclusion -- Bibliography -- Authors' Biographies. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Machine learning, and specifically deep learning, has been hugely disruptive in many fields of computer science. The success of deep learning techniques in solving notoriously difficult classification and regression problems has resulted in their rapid adoption in solving real-world problems. The emergence of deep learning is widely attributed to a virtuous cycle whereby fundamental advancements in training deeper models were enabled by the availability of massive datasets and high-performance computer hardware. This text serves as a primer for computer architects in a new and rapidly evolving field. We review how machine learning has evolved since its inception in the 1960s and track the key developments leading up to the emergence of the powerful deep learning techniques that emerged in the last decade. Next we review representative workloads, including the most commonly used datasets and seminal networks across a variety of domains. In addition to discussing the workloadsthemselves, we also detail the most popular deep learning tools and show how aspiring practitioners can use the tools with the workloads to characterize and optimize DNNs. The remainder of the book is dedicated to the design and optimization of hardware and architectures for machine learning. As high-performance hardware was so instrumental in the success of machine learning becoming a practical solution, this chapter recounts a variety of optimizations proposed recently to further improve future designs. Finally, we present a review of recent research published in the area as well as a taxonomy to help readers understand how various contributions fall in context. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Adolf, Robert. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Whatmough, Paul. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Wei, Gu-Yeon. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Brooks, David. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01756-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2017. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Electronic circuits. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Microprocessors. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer architecture. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Electronic Circuits and Systems. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Processor Architectures. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1935-3243 |
| 912 ## - | |
| -- | ZDB-2-SXSC |
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