Learning in energy-efficient neuromorphic computing: algorithm and architecture co-design
"This book focuses on how to build energy-efficient hardware for neural network with learning capabilities. One of the striking features of this book is that it strives to provide a co-design and co-optimization methodologies for building hardware neural networks that can learn. The book provid...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hoboken, New Jersey
Wiley-IEEE Press
[2019]
|
Schlagworte: | |
Online-Zugang: | FHI01 Volltext |
Zusammenfassung: | "This book focuses on how to build energy-efficient hardware for neural network with learning capabilities. One of the striking features of this book is that it strives to provide a co-design and co-optimization methodologies for building hardware neural networks that can learn. The book provides a complete picture from high-level algorithm to low-level implementation details. The book also covers many fundamentals and essentials in neural networks, e.g., deep learning, as well as hardware implementation of neural networks. This book will serve as a good resource for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities"-- |
Beschreibung: | Print version record |
Beschreibung: | 1 Online-Resource (296 pages) |
ISBN: | 9781119507369 9781119507390 9781119507406 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV046418541 | ||
003 | DE-604 | ||
005 | 20230626 | ||
007 | cr|uuu---uuuuu | ||
008 | 200211s2019 |||| o||u| ||||||eng d | ||
020 | |a 9781119507369 |9 978-1-119-50736-9 | ||
020 | |a 9781119507390 |9 978-1-119-50739-0 | ||
020 | |a 9781119507406 |9 978-1-119-50740-6 | ||
024 | 7 | |a 10.1002/9781119507369 |2 doi | |
035 | |a (ZDB-35-WEL)8889858 | ||
035 | |a (OCoLC)1141149750 | ||
035 | |a (DE-599)BVBBV046418541 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-573 | ||
082 | 0 | |a 006.3/2 |2 23 | |
100 | 1 | |a Zheng, Nan |e Verfasser |4 aut | |
245 | 1 | 0 | |a Learning in energy-efficient neuromorphic computing |b algorithm and architecture co-design |c Nan Zheng, Pinaki Mazumder |
264 | 1 | |a Hoboken, New Jersey |b Wiley-IEEE Press |c [2019] | |
300 | |a 1 Online-Resource (296 pages) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Print version record | ||
520 | |a "This book focuses on how to build energy-efficient hardware for neural network with learning capabilities. One of the striking features of this book is that it strives to provide a co-design and co-optimization methodologies for building hardware neural networks that can learn. The book provides a complete picture from high-level algorithm to low-level implementation details. The book also covers many fundamentals and essentials in neural networks, e.g., deep learning, as well as hardware implementation of neural networks. This book will serve as a good resource for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities"-- | ||
650 | 4 | |a Neural networks (Computer science) | |
700 | 1 | |a Mazumder, Pinaki |e Sonstige |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Zheng, Nan, 1989- |t Learning in energy-efficient neuromorphic computing |d Hoboken, NJ : Wiley-IEEE Press, [2019] |z 9781119507383 |
856 | 4 | 0 | |u https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8889858 |x Aggregator |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-35-WEL | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-031831012 | ||
966 | e | |u https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8889858 |l FHI01 |p ZDB-35-WEL |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804180962051883008 |
---|---|
any_adam_object | |
author | Zheng, Nan |
author_facet | Zheng, Nan |
author_role | aut |
author_sort | Zheng, Nan |
author_variant | n z nz |
building | Verbundindex |
bvnumber | BV046418541 |
collection | ZDB-35-WEL |
ctrlnum | (ZDB-35-WEL)8889858 (OCoLC)1141149750 (DE-599)BVBBV046418541 |
dewey-full | 006.3/2 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/2 |
dewey-search | 006.3/2 |
dewey-sort | 16.3 12 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02333nmm a2200409zc 4500</leader><controlfield tag="001">BV046418541</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230626 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">200211s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119507369</subfield><subfield code="9">978-1-119-50736-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119507390</subfield><subfield code="9">978-1-119-50739-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119507406</subfield><subfield code="9">978-1-119-50740-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/9781119507369</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-35-WEL)8889858</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1141149750</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046418541</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/2</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zheng, Nan</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Learning in energy-efficient neuromorphic computing</subfield><subfield code="b">algorithm and architecture co-design</subfield><subfield code="c">Nan Zheng, Pinaki Mazumder</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, New Jersey</subfield><subfield code="b">Wiley-IEEE Press</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Resource (296 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Print version record</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"This book focuses on how to build energy-efficient hardware for neural network with learning capabilities. One of the striking features of this book is that it strives to provide a co-design and co-optimization methodologies for building hardware neural networks that can learn. The book provides a complete picture from high-level algorithm to low-level implementation details. The book also covers many fundamentals and essentials in neural networks, e.g., deep learning, as well as hardware implementation of neural networks. This book will serve as a good resource for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities"--</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mazumder, Pinaki</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Zheng, Nan, 1989-</subfield><subfield code="t">Learning in energy-efficient neuromorphic computing</subfield><subfield code="d">Hoboken, NJ : Wiley-IEEE Press, [2019]</subfield><subfield code="z">9781119507383</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8889858</subfield><subfield code="x">Aggregator</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-35-WEL</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031831012</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8889858</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-35-WEL</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV046418541 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:44:05Z |
institution | BVB |
isbn | 9781119507369 9781119507390 9781119507406 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031831012 |
oclc_num | 1141149750 |
open_access_boolean | |
owner | DE-573 |
owner_facet | DE-573 |
physical | 1 Online-Resource (296 pages) |
psigel | ZDB-35-WEL |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Wiley-IEEE Press |
record_format | marc |
spelling | Zheng, Nan Verfasser aut Learning in energy-efficient neuromorphic computing algorithm and architecture co-design Nan Zheng, Pinaki Mazumder Hoboken, New Jersey Wiley-IEEE Press [2019] 1 Online-Resource (296 pages) txt rdacontent c rdamedia cr rdacarrier Print version record "This book focuses on how to build energy-efficient hardware for neural network with learning capabilities. One of the striking features of this book is that it strives to provide a co-design and co-optimization methodologies for building hardware neural networks that can learn. The book provides a complete picture from high-level algorithm to low-level implementation details. The book also covers many fundamentals and essentials in neural networks, e.g., deep learning, as well as hardware implementation of neural networks. This book will serve as a good resource for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities"-- Neural networks (Computer science) Mazumder, Pinaki Sonstige oth Erscheint auch als Druck-Ausgabe Zheng, Nan, 1989- Learning in energy-efficient neuromorphic computing Hoboken, NJ : Wiley-IEEE Press, [2019] 9781119507383 https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8889858 Aggregator URL des Erstveröffentlichers Volltext |
spellingShingle | Zheng, Nan Learning in energy-efficient neuromorphic computing algorithm and architecture co-design Neural networks (Computer science) |
title | Learning in energy-efficient neuromorphic computing algorithm and architecture co-design |
title_auth | Learning in energy-efficient neuromorphic computing algorithm and architecture co-design |
title_exact_search | Learning in energy-efficient neuromorphic computing algorithm and architecture co-design |
title_full | Learning in energy-efficient neuromorphic computing algorithm and architecture co-design Nan Zheng, Pinaki Mazumder |
title_fullStr | Learning in energy-efficient neuromorphic computing algorithm and architecture co-design Nan Zheng, Pinaki Mazumder |
title_full_unstemmed | Learning in energy-efficient neuromorphic computing algorithm and architecture co-design Nan Zheng, Pinaki Mazumder |
title_short | Learning in energy-efficient neuromorphic computing |
title_sort | learning in energy efficient neuromorphic computing algorithm and architecture co design |
title_sub | algorithm and architecture co-design |
topic | Neural networks (Computer science) |
topic_facet | Neural networks (Computer science) |
url | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8889858 |
work_keys_str_mv | AT zhengnan learninginenergyefficientneuromorphiccomputingalgorithmandarchitecturecodesign AT mazumderpinaki learninginenergyefficientneuromorphiccomputingalgorithmandarchitecturecodesign |