Efficient hardware acceleration of recurrent neural networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Kaiserslautern
Technische Universität Kaiserslautern
2022
|
| Ausgabe: | Als Manuskript gedruckt |
| Schriftenreihe: | Forschungsberichte Mikroelektronik
Band 32 |
| Schlagworte: | |
| Beschreibung: | viii, 170 Seiten Illustrationen, Diagramme |
| ISBN: | 9783959741873 |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV048687616 | ||
| 003 | DE-604 | ||
| 005 | 20240216 | ||
| 007 | t | ||
| 008 | 230202s2022 a||| m||| 00||| eng d | ||
| 020 | |a 9783959741873 |9 978-3-95974-187-3 | ||
| 035 | |a (OCoLC)1369557490 | ||
| 035 | |a (DE-599)BVBBV048687616 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-634 |a DE-29T |a DE-83 | ||
| 100 | 1 | |a Rybalkin, Vladimir |d 1987- |e Verfasser |0 (DE-588)128096443X |4 aut | |
| 245 | 1 | 0 | |a Efficient hardware acceleration of recurrent neural networks |c Vladimir Rybalkin |
| 246 | 1 | 3 | |a Effiziente Hardwarebeschleunigung rekurrenter neuronaler Netze |
| 250 | |a Als Manuskript gedruckt | ||
| 264 | 1 | |a Kaiserslautern |b Technische Universität Kaiserslautern |c 2022 | |
| 300 | |a viii, 170 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Forschungsberichte Mikroelektronik |v Band 32 | |
| 502 | |b Dissertation |c Technische Universität Kaiserslautern |d 2021 | ||
| 650 | 0 | 7 | |a Rekursives neuronales Netz |0 (DE-588)4379549-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Hardwarebeschleunigung |0 (DE-588)1088591744 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Rekursives neuronales Netz |0 (DE-588)4379549-3 |D s |
| 689 | 0 | 1 | |a Hardwarebeschleunigung |0 (DE-588)1088591744 |D s |
| 689 | 0 | |5 DE-604 | |
| 830 | 0 | |a Forschungsberichte Mikroelektronik |v Band 32 |w (DE-604)BV012925671 |9 32 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034061867 | |
Datensatz im Suchindex
| _version_ | 1811629898910924800 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Rybalkin, Vladimir 1987- |
| author_GND | (DE-588)128096443X |
| author_facet | Rybalkin, Vladimir 1987- |
| author_role | aut |
| author_sort | Rybalkin, Vladimir 1987- |
| author_variant | v r vr |
| building | Verbundindex |
| bvnumber | BV048687616 |
| ctrlnum | (OCoLC)1369557490 (DE-599)BVBBV048687616 |
| edition | Als Manuskript gedruckt |
| format | Thesis Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 cb4500</leader><controlfield tag="001">BV048687616</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240216</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">230202s2022 a||| m||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783959741873</subfield><subfield code="9">978-3-95974-187-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1369557490</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048687616</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-634</subfield><subfield code="a">DE-29T</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rybalkin, Vladimir</subfield><subfield code="d">1987-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)128096443X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Efficient hardware acceleration of recurrent neural networks</subfield><subfield code="c">Vladimir Rybalkin</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Effiziente Hardwarebeschleunigung rekurrenter neuronaler Netze</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Als Manuskript gedruckt</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Kaiserslautern</subfield><subfield code="b">Technische Universität Kaiserslautern</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">viii, 170 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Forschungsberichte Mikroelektronik</subfield><subfield code="v">Band 32</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Technische Universität Kaiserslautern</subfield><subfield code="d">2021</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Rekursives neuronales Netz</subfield><subfield code="0">(DE-588)4379549-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Hardwarebeschleunigung</subfield><subfield code="0">(DE-588)1088591744</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Rekursives neuronales Netz</subfield><subfield code="0">(DE-588)4379549-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Hardwarebeschleunigung</subfield><subfield code="0">(DE-588)1088591744</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Forschungsberichte Mikroelektronik</subfield><subfield code="v">Band 32</subfield><subfield code="w">(DE-604)BV012925671</subfield><subfield code="9">32</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034061867</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV048687616 |
| illustrated | Illustrated |
| index_date | 2024-07-03T21:26:48Z |
| indexdate | 2024-09-30T14:01:45Z |
| institution | BVB |
| isbn | 9783959741873 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034061867 |
| oclc_num | 1369557490 |
| open_access_boolean | |
| owner | DE-634 DE-29T DE-83 |
| owner_facet | DE-634 DE-29T DE-83 |
| physical | viii, 170 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Technische Universität Kaiserslautern |
| record_format | marc |
| series | Forschungsberichte Mikroelektronik |
| series2 | Forschungsberichte Mikroelektronik |
| spelling | Rybalkin, Vladimir 1987- Verfasser (DE-588)128096443X aut Efficient hardware acceleration of recurrent neural networks Vladimir Rybalkin Effiziente Hardwarebeschleunigung rekurrenter neuronaler Netze Als Manuskript gedruckt Kaiserslautern Technische Universität Kaiserslautern 2022 viii, 170 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Forschungsberichte Mikroelektronik Band 32 Dissertation Technische Universität Kaiserslautern 2021 Rekursives neuronales Netz (DE-588)4379549-3 gnd rswk-swf Hardwarebeschleunigung (DE-588)1088591744 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Rekursives neuronales Netz (DE-588)4379549-3 s Hardwarebeschleunigung (DE-588)1088591744 s DE-604 Forschungsberichte Mikroelektronik Band 32 (DE-604)BV012925671 32 |
| spellingShingle | Rybalkin, Vladimir 1987- Efficient hardware acceleration of recurrent neural networks Forschungsberichte Mikroelektronik Rekursives neuronales Netz (DE-588)4379549-3 gnd Hardwarebeschleunigung (DE-588)1088591744 gnd |
| subject_GND | (DE-588)4379549-3 (DE-588)1088591744 (DE-588)4113937-9 |
| title | Efficient hardware acceleration of recurrent neural networks |
| title_alt | Effiziente Hardwarebeschleunigung rekurrenter neuronaler Netze |
| title_auth | Efficient hardware acceleration of recurrent neural networks |
| title_exact_search | Efficient hardware acceleration of recurrent neural networks |
| title_exact_search_txtP | Efficient hardware acceleration of recurrent neural networks |
| title_full | Efficient hardware acceleration of recurrent neural networks Vladimir Rybalkin |
| title_fullStr | Efficient hardware acceleration of recurrent neural networks Vladimir Rybalkin |
| title_full_unstemmed | Efficient hardware acceleration of recurrent neural networks Vladimir Rybalkin |
| title_short | Efficient hardware acceleration of recurrent neural networks |
| title_sort | efficient hardware acceleration of recurrent neural networks |
| topic | Rekursives neuronales Netz (DE-588)4379549-3 gnd Hardwarebeschleunigung (DE-588)1088591744 gnd |
| topic_facet | Rekursives neuronales Netz Hardwarebeschleunigung Hochschulschrift |
| volume_link | (DE-604)BV012925671 |
| work_keys_str_mv | AT rybalkinvladimir efficienthardwareaccelerationofrecurrentneuralnetworks AT rybalkinvladimir effizientehardwarebeschleunigungrekurrenterneuronalernetze |