PyTorch 1.x reinforcement learning cookbook: over 60 recipes to design, develop, and deploy self-learning AI models using Python
Saved in:
Main Author: | |
---|---|
Format: | Electronic eBook |
Language: | English |
Published: |
Birmingham ; Mumbai
Packt
October 2019
|
Subjects: | |
Online Access: | FHI01 UBR01 UBY01 URL des Erstveröffentlichers |
Physical Description: | 1 Online-Ressource (vi, 321 Seiten) Illustrationen, Diagramme |
ISBN: | 9781838553234 |
Staff View
MARC
LEADER | 00000nmm a2200000 c 4500 | ||
---|---|---|---|
001 | BV047070304 | ||
003 | DE-604 | ||
005 | 20220920 | ||
007 | cr|uuu---uuuuu | ||
008 | 201218s2019 |||| o||u| ||||||eng d | ||
020 | |a 9781838553234 |c OnlineAusgabe, EPUB |9 978-1-83855-323-4 | ||
035 | |a (ZDB-5-WPSE)9781838553234340 | ||
035 | |a (ZDB-221-PDA)9781838553234 | ||
035 | |a (OCoLC)1227482978 | ||
035 | |a (DE-599)BVBBV047070304 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-573 |a DE-706 |a DE-355 |a DE-11 | ||
100 | 1 | |a Liu, Yuxi |e Verfasser |0 (DE-588)1144655390 |4 aut | |
245 | 1 | 0 | |a PyTorch 1.x reinforcement learning cookbook |b over 60 recipes to design, develop, and deploy self-learning AI models using Python |c Yuxi (Hayden) Liu |
246 | 1 | 3 | |a PyTorch one point x reinforcement learning cookbook |
246 | 1 | 3 | |a PyTorch 1 . x reinforcement learning cookbook |
246 | 1 | 3 | |a PyTorch 1 point x reinforcement learning cookbook |
264 | 1 | |a Birmingham ; Mumbai |b Packt |c October 2019 | |
300 | |a 1 Online-Ressource (vi, 321 Seiten) |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
650 | 4 | |a COMPUTERS / Neural Networks | |
650 | 4 | |a COMPUTERS / Machine Theory | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-83855-196-4 |
856 | 4 | 0 | |u https://portal.igpublish.com/iglibrary/search/PACKT0005448.html |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ebook |a ZDB-5-WPSE |a ZDB-221-PDA | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-032477330 | ||
966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005448.html |l FHI01 |p ZDB-221-PDA |x Aggregator |3 Volltext | |
966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005448.html |l UBR01 |p ZDB-221-PDA |q UBR Paketkauf 2021 |x Verlag |3 Volltext | |
966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005448.html |l UBY01 |p ZDB-221-PDA |q UBY01_ZDB-221-PDA21 |x Verlag |3 Volltext |
Record in the Search Index
_version_ | 1804182072970969088 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Liu, Yuxi |
author_GND | (DE-588)1144655390 |
author_facet | Liu, Yuxi |
author_role | aut |
author_sort | Liu, Yuxi |
author_variant | y l yl |
building | Verbundindex |
bvnumber | BV047070304 |
collection | ebook ZDB-5-WPSE ZDB-221-PDA |
ctrlnum | (ZDB-5-WPSE)9781838553234340 (ZDB-221-PDA)9781838553234 (OCoLC)1227482978 (DE-599)BVBBV047070304 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01941nmm a2200409 c 4500</leader><controlfield tag="001">BV047070304</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220920 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201218s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838553234</subfield><subfield code="c">OnlineAusgabe, EPUB</subfield><subfield code="9">978-1-83855-323-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-5-WPSE)9781838553234340</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-221-PDA)9781838553234</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227482978</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047070304</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><subfield code="a">DE-706</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Yuxi</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1144655390</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">PyTorch 1.x reinforcement learning cookbook</subfield><subfield code="b">over 60 recipes to design, develop, and deploy self-learning AI models using Python</subfield><subfield code="c">Yuxi (Hayden) Liu</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">PyTorch one point x reinforcement learning cookbook</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">PyTorch 1 . x reinforcement learning cookbook</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">PyTorch 1 point x reinforcement learning cookbook</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt</subfield><subfield code="c">October 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (vi, 321 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">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="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Neural Networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Machine Theory</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">978-1-83855-196-4</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005448.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">ebook</subfield><subfield code="a">ZDB-5-WPSE</subfield><subfield code="a">ZDB-221-PDA</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032477330</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005448.html</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005448.html</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="q">UBR Paketkauf 2021</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/PACKT0005448.html</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="q">UBY01_ZDB-221-PDA21</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV047070304 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:13:34Z |
indexdate | 2024-07-10T09:01:45Z |
institution | BVB |
isbn | 9781838553234 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032477330 |
oclc_num | 1227482978 |
open_access_boolean | |
owner | DE-573 DE-706 DE-355 DE-BY-UBR DE-11 |
owner_facet | DE-573 DE-706 DE-355 DE-BY-UBR DE-11 |
physical | 1 Online-Ressource (vi, 321 Seiten) Illustrationen, Diagramme |
psigel | ebook ZDB-5-WPSE ZDB-221-PDA ZDB-221-PDA UBR Paketkauf 2021 ZDB-221-PDA UBY01_ZDB-221-PDA21 |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Packt |
record_format | marc |
spelling | Liu, Yuxi Verfasser (DE-588)1144655390 aut PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python Yuxi (Hayden) Liu PyTorch one point x reinforcement learning cookbook PyTorch 1 . x reinforcement learning cookbook PyTorch 1 point x reinforcement learning cookbook Birmingham ; Mumbai Packt October 2019 1 Online-Ressource (vi, 321 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier COMPUTERS / Neural Networks COMPUTERS / Machine Theory Erscheint auch als Druck-Ausgabe 978-1-83855-196-4 https://portal.igpublish.com/iglibrary/search/PACKT0005448.html Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Liu, Yuxi PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python COMPUTERS / Neural Networks COMPUTERS / Machine Theory |
title | PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python |
title_alt | PyTorch one point x reinforcement learning cookbook PyTorch 1 . x reinforcement learning cookbook PyTorch 1 point x reinforcement learning cookbook |
title_auth | PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python |
title_exact_search | PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python |
title_exact_search_txtP | PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python |
title_full | PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python Yuxi (Hayden) Liu |
title_fullStr | PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python Yuxi (Hayden) Liu |
title_full_unstemmed | PyTorch 1.x reinforcement learning cookbook over 60 recipes to design, develop, and deploy self-learning AI models using Python Yuxi (Hayden) Liu |
title_short | PyTorch 1.x reinforcement learning cookbook |
title_sort | pytorch 1 x reinforcement learning cookbook over 60 recipes to design develop and deploy self learning ai models using python |
title_sub | over 60 recipes to design, develop, and deploy self-learning AI models using Python |
topic | COMPUTERS / Neural Networks COMPUTERS / Machine Theory |
topic_facet | COMPUTERS / Neural Networks COMPUTERS / Machine Theory |
url | https://portal.igpublish.com/iglibrary/search/PACKT0005448.html |
work_keys_str_mv | AT liuyuxi pytorch1xreinforcementlearningcookbookover60recipestodesigndevelopanddeployselflearningaimodelsusingpython AT liuyuxi pytorchonepointxreinforcementlearningcookbook AT liuyuxi pytorch1xreinforcementlearningcookbook AT liuyuxi pytorch1pointxreinforcementlearningcookbook |