Deep learning with MXNet cookbook: discover an extensive collection of recipes for creating and implementing AI models on MXNet
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
[Dec 2023]
|
| Ausgabe: | 1st edition |
| Links: | https://portal.igpublish.com/iglibrary/search/PACKT0006952.html https://portal.igpublish.com/iglibrary/search/PACKT0006952.html https://portal.igpublish.com/iglibrary/search/PACKT0006952.html https://portal.igpublish.com/iglibrary/search/PACKT0006952.html https://portal.igpublish.com/iglibrary/search/PACKT0006952.html |
| Beschreibung: | Auf dem Cover: "1st edition" |
| Umfang: | 1 Online-Ressource (xviii, 351 Seiten) Illustrationen, Diagramme (teilweise farbig) |
| ISBN: | 9781800562905 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049642247 | ||
| 003 | DE-604 | ||
| 005 | 20250115 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240409s2023 xx a||| o|||| 00||| eng d | ||
| 020 | |a 9781800562905 |9 978-1-80056-290-5 | ||
| 035 | |a (OCoLC)1429565332 | ||
| 035 | |a (DE-599)BVBBV049642247 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 |a DE-898 |a DE-706 |a DE-11 |a DE-573 | ||
| 100 | 1 | |a Torres, Andrés P. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Deep learning with MXNet cookbook |b discover an extensive collection of recipes for creating and implementing AI models on MXNet |c Andrés P. Torres |
| 250 | |a 1st edition | ||
| 264 | 1 | |a Birmingham ; Mumbai |b Packt |c [Dec 2023] | |
| 264 | 4 | |c © 2023 | |
| 300 | |a 1 Online-Ressource (xviii, 351 Seiten) |b Illustrationen, Diagramme (teilweise farbig) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Auf dem Cover: "1st edition" | ||
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-80056-960-7 |
| 856 | 4 | 0 | |u https://portal.igpublish.com/iglibrary/search/PACKT0006952.html |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-221-PPK | ||
| 912 | |a ZDB-221-PAI | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034985859 | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006952.html |l DE-898 |p ZDB-221-PAI |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006952.html |l DE-91 |p ZDB-221-PAI |q TUM_Paketkauf_2024 |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006952.html |l DE-706 |p ZDB-221-PAI |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0006952.html |l DE-573 |p ZDB-221-PAI |x Verlag |3 Volltext | |
Datensatz im Suchindex
| DE-BY-TUM_katkey | 2789642 |
|---|---|
| _version_ | 1822811266289238016 |
| adam_text | |
| any_adam_object | |
| author | Torres, Andrés P. |
| author_facet | Torres, Andrés P. |
| author_role | aut |
| author_sort | Torres, Andrés P. |
| author_variant | a p t ap apt |
| building | Verbundindex |
| bvnumber | BV049642247 |
| collection | ZDB-221-PPK ZDB-221-PAI |
| ctrlnum | (OCoLC)1429565332 (DE-599)BVBBV049642247 |
| edition | 1st edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV049642247</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20250115</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240409s2023 xx a||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781800562905</subfield><subfield code="9">978-1-80056-290-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1429565332</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049642247</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-91</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-573</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Torres, Andrés P.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep learning with MXNet cookbook</subfield><subfield code="b">discover an extensive collection of recipes for creating and implementing AI models on MXNet</subfield><subfield code="c">Andrés P. Torres</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt</subfield><subfield code="c">[Dec 2023]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xviii, 351 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme (teilweise farbig)</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">Auf dem Cover: "1st edition"</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-80056-960-7</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006952.html</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-221-PPK</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-221-PAI</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034985859</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006952.html</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006952.html</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="q">TUM_Paketkauf_2024</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006952.html</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0006952.html</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-221-PAI</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049642247 |
| illustrated | Illustrated |
| indexdate | 2025-01-31T11:03:18Z |
| institution | BVB |
| isbn | 9781800562905 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034985859 |
| oclc_num | 1429565332 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-11 DE-573 |
| owner_facet | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-11 DE-573 |
| physical | 1 Online-Ressource (xviii, 351 Seiten) Illustrationen, Diagramme (teilweise farbig) |
| psigel | ZDB-221-PPK ZDB-221-PAI ZDB-221-PAI TUM_Paketkauf_2024 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Packt |
| record_format | marc |
| spellingShingle | Torres, Andrés P. Deep learning with MXNet cookbook discover an extensive collection of recipes for creating and implementing AI models on MXNet |
| title | Deep learning with MXNet cookbook discover an extensive collection of recipes for creating and implementing AI models on MXNet |
| title_auth | Deep learning with MXNet cookbook discover an extensive collection of recipes for creating and implementing AI models on MXNet |
| title_exact_search | Deep learning with MXNet cookbook discover an extensive collection of recipes for creating and implementing AI models on MXNet |
| title_full | Deep learning with MXNet cookbook discover an extensive collection of recipes for creating and implementing AI models on MXNet Andrés P. Torres |
| title_fullStr | Deep learning with MXNet cookbook discover an extensive collection of recipes for creating and implementing AI models on MXNet Andrés P. Torres |
| title_full_unstemmed | Deep learning with MXNet cookbook discover an extensive collection of recipes for creating and implementing AI models on MXNet Andrés P. Torres |
| title_short | Deep learning with MXNet cookbook |
| title_sort | deep learning with mxnet cookbook discover an extensive collection of recipes for creating and implementing ai models on mxnet |
| title_sub | discover an extensive collection of recipes for creating and implementing AI models on MXNet |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0006952.html |
| work_keys_str_mv | AT torresandresp deeplearningwithmxnetcookbookdiscoveranextensivecollectionofrecipesforcreatingandimplementingaimodelsonmxnet |