PyTorch recipes: a problem-solution approach to build, train and deploy neural network models
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berkeley, CA
Apress
2023
|
| Ausgabe: | Second edition |
| Schlagworte: | |
| Beschreibung: | xxiv, 266 Seiten Illustrationen, Diagramme |
| ISBN: | 9781484289242 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV049643392 | ||
| 003 | DE-604 | ||
| 005 | 20240627 | ||
| 007 | t | ||
| 008 | 240410s2023 xxua||| |||| 00||| eng d | ||
| 020 | |a 9781484289242 |9 978-1-4842-8924-2 | ||
| 035 | |a (OCoLC)1443595896 | ||
| 035 | |a (DE-599)BVBBV049643392 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 049 | |a DE-11 | ||
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 100 | 1 | |a Mishra, Pradeepta |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a PyTorch recipes |b a problem-solution approach to build, train and deploy neural network models |c by Pradeepta Mishra |
| 250 | |a Second edition | ||
| 264 | 1 | |a Berkeley, CA |b Apress |c 2023 | |
| 300 | |a xxiv, 266 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 653 | 0 | |a Python (Computer program language). | |
| 653 | 0 | |a Big data. | |
| 653 | 0 | |a Quantitative research. | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-4842-8925-9 |
Datensatz im Suchindex
| _version_ | 1805083820169363456 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Mishra, Pradeepta |
| author_facet | Mishra, Pradeepta |
| author_role | aut |
| author_sort | Mishra, Pradeepta |
| author_variant | p m pm |
| building | Verbundindex |
| bvnumber | BV049643392 |
| classification_rvk | ST 300 ST 250 |
| ctrlnum | (OCoLC)1443595896 (DE-599)BVBBV049643392 |
| discipline | Informatik |
| edition | Second edition |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV049643392</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240627</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">240410s2023 xxua||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484289242</subfield><subfield code="9">978-1-4842-8924-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1443595896</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049643392</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="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mishra, Pradeepta</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">PyTorch recipes</subfield><subfield code="b">a problem-solution approach to build, train and deploy neural network models</subfield><subfield code="c">by Pradeepta Mishra</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berkeley, CA</subfield><subfield code="b">Apress</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xxiv, 266 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="653" ind1=" " ind2="0"><subfield code="a">Python (Computer program language).</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Big data.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Quantitative research.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-4842-8925-9</subfield></datafield></record></collection> |
| id | DE-604.BV049643392 |
| illustrated | Illustrated |
| index_date | 2024-07-03T23:39:35Z |
| indexdate | 2024-07-20T07:54:37Z |
| institution | BVB |
| isbn | 9781484289242 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034986983 |
| oclc_num | 1443595896 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | xxiv, 266 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Apress |
| record_format | marc |
| spelling | Mishra, Pradeepta Verfasser aut PyTorch recipes a problem-solution approach to build, train and deploy neural network models by Pradeepta Mishra Second edition Berkeley, CA Apress 2023 xxiv, 266 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Python (Computer program language). Big data. Quantitative research. Erscheint auch als Online-Ausgabe 978-1-4842-8925-9 |
| spellingShingle | Mishra, Pradeepta PyTorch recipes a problem-solution approach to build, train and deploy neural network models |
| title | PyTorch recipes a problem-solution approach to build, train and deploy neural network models |
| title_auth | PyTorch recipes a problem-solution approach to build, train and deploy neural network models |
| title_exact_search | PyTorch recipes a problem-solution approach to build, train and deploy neural network models |
| title_exact_search_txtP | PyTorch recipes a problem-solution approach to build, train and deploy neural network models |
| title_full | PyTorch recipes a problem-solution approach to build, train and deploy neural network models by Pradeepta Mishra |
| title_fullStr | PyTorch recipes a problem-solution approach to build, train and deploy neural network models by Pradeepta Mishra |
| title_full_unstemmed | PyTorch recipes a problem-solution approach to build, train and deploy neural network models by Pradeepta Mishra |
| title_short | PyTorch recipes |
| title_sort | pytorch recipes a problem solution approach to build train and deploy neural network models |
| title_sub | a problem-solution approach to build, train and deploy neural network models |
| work_keys_str_mv | AT mishrapradeepta pytorchrecipesaproblemsolutionapproachtobuildtrainanddeployneuralnetworkmodels |