Deep learning with TensorFlow 2 and Keras: regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham ; Mumbai
Packt
December 2019
|
Ausgabe: | Second edition |
Online-Zugang: | FHI01 UBR01 UBR01 UBY01 UBY01 UER01 |
Beschreibung: | 1 Online-Ressource (xxv, 610 Seiten) Illustrationen, Diagramme (farbig) |
ISBN: | 9781838827724 |
Internformat
MARC
LEADER | 00000nmm a2200000 c 4500 | ||
---|---|---|---|
001 | BV046743460 | ||
003 | DE-604 | ||
005 | 20220323 | ||
007 | cr|uuu---uuuuu | ||
008 | 200602s2019 |||| o||u| ||||||eng d | ||
020 | |a 9781838827724 |c Online, ePub |9 978-1-83882-772-4 | ||
035 | |a (ZDB-221-PDA)9781838827724 | ||
035 | |a (ZDB-30-PQE)EBC6002222 | ||
035 | |a (OCoLC)1164608747 | ||
035 | |a (DE-599)BVBBV046743460 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-706 |a DE-573 |a DE-355 |a DE-29 |a DE-11 | ||
100 | 1 | |a Gullì, Antonio |d 1971- |e Verfasser |0 (DE-588)135634164 |4 aut | |
245 | 1 | 0 | |a Deep learning with TensorFlow 2 and Keras |b regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API |c Antonio Gulli, Amita Kapoor, Sujit Pal |
250 | |a Second edition | ||
264 | 1 | |a Birmingham ; Mumbai |b Packt |c December 2019 | |
300 | |a 1 Online-Ressource (xxv, 610 Seiten) |b Illustrationen, Diagramme (farbig) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
700 | 1 | |a Kapoor, Amita |e Verfasser |0 (DE-588)1225405998 |4 aut | |
700 | 1 | |a Pal, Sujit |e Verfasser |0 (DE-588)1147772061 |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-83882-341-2 |
912 | |a ebook |a ZDB-4-NLEBK |a ZDB-5-WPSE |a ZDB-221-PDA |a ZDB-30-PQE | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-032153318 | ||
966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005504.html |l FHI01 |p ZDB-221-PDA |x Aggregator |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/uniregensburg-ebooks/detail.action?docID=6002222 |l UBR01 |p ZDB-30-PQE |q UBR Sammelbestellung 2021 |x Aggregator |3 Volltext | |
966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005504.html |l UBR01 |p ZDB-221-PDA |q UBR Paketkauf 2021 |x Verlag |3 Volltext | |
966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2339879 |l UBY01 |p ZDB-4-NLEBK |q UBY01_DDA20 |x Aggregator |3 Volltext | |
966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005504.html |l UBY01 |p ZDB-221-PDA |q UBY01_ZDB-221-PDA21 |x Verlag |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/erlangen/detail.action?docID=6002222 |l UER01 |p ZDB-30-PQE |q UER_PDA_PQE_Kauf |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804181497510363137 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Gullì, Antonio 1971- Kapoor, Amita Pal, Sujit |
author_GND | (DE-588)135634164 (DE-588)1225405998 (DE-588)1147772061 |
author_facet | Gullì, Antonio 1971- Kapoor, Amita Pal, Sujit |
author_role | aut aut aut |
author_sort | Gullì, Antonio 1971- |
author_variant | a g ag a k ak s p sp |
building | Verbundindex |
bvnumber | BV046743460 |
collection | ebook ZDB-4-NLEBK ZDB-5-WPSE ZDB-221-PDA ZDB-30-PQE |
ctrlnum | (ZDB-221-PDA)9781838827724 (ZDB-30-PQE)EBC6002222 (OCoLC)1164608747 (DE-599)BVBBV046743460 |
edition | Second edition |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02233nmm a2200409 c 4500</leader><controlfield tag="001">BV046743460</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220323 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">200602s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838827724</subfield><subfield code="c">Online, ePub</subfield><subfield code="9">978-1-83882-772-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-221-PDA)9781838827724</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC6002222</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1164608747</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046743460</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-706</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gullì, Antonio</subfield><subfield code="d">1971-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)135634164</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep learning with TensorFlow 2 and Keras</subfield><subfield code="b">regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API</subfield><subfield code="c">Antonio Gulli, Amita Kapoor, Sujit Pal</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt</subfield><subfield code="c">December 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xxv, 610 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme (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="700" ind1="1" ind2=" "><subfield code="a">Kapoor, Amita</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1225405998</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pal, Sujit</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1147772061</subfield><subfield code="4">aut</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">978-1-83882-341-2</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield><subfield code="a">ZDB-4-NLEBK</subfield><subfield code="a">ZDB-5-WPSE</subfield><subfield code="a">ZDB-221-PDA</subfield><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032153318</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005504.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://ebookcentral.proquest.com/lib/uniregensburg-ebooks/detail.action?docID=6002222</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UBR Sammelbestellung 2021</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/PACKT0005504.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">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2339879</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="q">UBY01_DDA20</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/PACKT0005504.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><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/erlangen/detail.action?docID=6002222</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UER_PDA_PQE_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV046743460 |
illustrated | Not Illustrated |
index_date | 2024-07-03T14:40:03Z |
indexdate | 2024-07-10T08:52:36Z |
institution | BVB |
isbn | 9781838827724 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032153318 |
oclc_num | 1164608747 |
open_access_boolean | |
owner | DE-706 DE-573 DE-355 DE-BY-UBR DE-29 DE-11 |
owner_facet | DE-706 DE-573 DE-355 DE-BY-UBR DE-29 DE-11 |
physical | 1 Online-Ressource (xxv, 610 Seiten) Illustrationen, Diagramme (farbig) |
psigel | ebook ZDB-4-NLEBK ZDB-5-WPSE ZDB-221-PDA ZDB-30-PQE ZDB-30-PQE UBR Sammelbestellung 2021 ZDB-221-PDA UBR Paketkauf 2021 ZDB-4-NLEBK UBY01_DDA20 ZDB-221-PDA UBY01_ZDB-221-PDA21 ZDB-30-PQE UER_PDA_PQE_Kauf |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Packt |
record_format | marc |
spelling | Gullì, Antonio 1971- Verfasser (DE-588)135634164 aut Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API Antonio Gulli, Amita Kapoor, Sujit Pal Second edition Birmingham ; Mumbai Packt December 2019 1 Online-Ressource (xxv, 610 Seiten) Illustrationen, Diagramme (farbig) txt rdacontent c rdamedia cr rdacarrier Kapoor, Amita Verfasser (DE-588)1225405998 aut Pal, Sujit Verfasser (DE-588)1147772061 aut Erscheint auch als Druck-Ausgabe 978-1-83882-341-2 |
spellingShingle | Gullì, Antonio 1971- Kapoor, Amita Pal, Sujit Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API |
title | Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API |
title_auth | Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API |
title_exact_search | Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API |
title_exact_search_txtP | Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API |
title_full | Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API Antonio Gulli, Amita Kapoor, Sujit Pal |
title_fullStr | Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API Antonio Gulli, Amita Kapoor, Sujit Pal |
title_full_unstemmed | Deep learning with TensorFlow 2 and Keras regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API Antonio Gulli, Amita Kapoor, Sujit Pal |
title_short | Deep learning with TensorFlow 2 and Keras |
title_sort | deep learning with tensorflow 2 and keras regression convnets gans rnns nlp and more with tensorflow 2 and the keras api |
title_sub | regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API |
work_keys_str_mv | AT gulliantonio deeplearningwithtensorflow2andkerasregressionconvnetsgansrnnsnlpandmorewithtensorflow2andthekerasapi AT kapooramita deeplearningwithtensorflow2andkerasregressionconvnetsgansrnnsnlpandmorewithtensorflow2andthekerasapi AT palsujit deeplearningwithtensorflow2andkerasregressionconvnetsgansrnnsnlpandmorewithtensorflow2andthekerasapi |