TensorFlow 2.x in the colaboratory cloud: an introduction to deep learning on Google’s cloud service
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berkeley, CA
Apress
[2021]
|
Ausgabe: | First edition |
Schlagworte: | |
Online-Zugang: | DE-1043 DE-1046 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-1051 DE-898 DE-859 DE-860 DE-863 DE-862 DE-523 DE-20 URL des Erstveröffentlichers |
Beschreibung: | 1 Online-Ressource (XXIII, 264 Seiten) 5 Illustrationen |
ISBN: | 9781484266496 |
DOI: | 10.1007/978-1-4842-6649-6 |
Internformat
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV047136095 | ||
003 | DE-604 | ||
005 | 20240216 | ||
007 | cr|uuu---uuuuu | ||
008 | 210211s2021 xx a||| o|||| 00||| eng d | ||
020 | |a 9781484266496 |c Online |9 978-1-4842-6649-6 | ||
024 | 7 | |a 10.1007/978-1-4842-6649-6 |2 doi | |
035 | |a (ZDB-2-CWD)9781484266496 | ||
035 | |a (OCoLC)1237590443 | ||
035 | |a (DE-599)BVBBV047136095 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-1046 |a DE-1043 |a DE-Aug4 |a DE-898 |a DE-M347 |a DE-573 |a DE-188 |a DE-523 |a DE-859 |a DE-863 |a DE-1050 |a DE-20 |a DE-1051 |a DE-862 |a DE-92 |a DE-860 |a DE-83 | ||
082 | 0 | |a 006.31 |2 23 | |
100 | 1 | |a Paper, David |e Verfasser |0 (DE-588)1162628936 |4 aut | |
245 | 1 | 0 | |a TensorFlow 2.x in the colaboratory cloud |b an introduction to deep learning on Google’s cloud service |c David Paper |
250 | |a First edition | ||
264 | 1 | |a Berkeley, CA |b Apress |c [2021] | |
300 | |a 1 Online-Ressource (XXIII, 264 Seiten) |b 5 Illustrationen | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
650 | 4 | |a Machine Learning | |
650 | 4 | |a Data Structures and Information Theory | |
650 | 4 | |a Artificial Intelligence | |
650 | 4 | |a Machine learning | |
650 | 4 | |a Data structures (Computer science) | |
650 | 4 | |a Artificial intelligence | |
650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Deep Learning |0 (DE-588)1135597375 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a TensorFlow |0 (DE-588)1153577011 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a TensorFlow |0 (DE-588)1153577011 |D s |
689 | 0 | 1 | |a Deep Learning |0 (DE-588)1135597375 |D s |
689 | 0 | 2 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 0 | 3 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-6648-9 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-6650-2 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4842-6649-6 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-2-CWD | ||
940 | 1 | |q ZDB-2-CWD_2021 | |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032542126 | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-1043 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-1046 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-Aug4 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-1050 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-573 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-M347 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-92 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-1051 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-898 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-859 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-860 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-863 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-862 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-523 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-6649-6 |l DE-20 |p ZDB-2-CWD |x Verlag |3 Volltext |
Datensatz im Suchindex
DE-BY-FWS_katkey | 872046 |
---|---|
_version_ | 1823932147925254144 |
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Paper, David |
author_GND | (DE-588)1162628936 |
author_facet | Paper, David |
author_role | aut |
author_sort | Paper, David |
author_variant | d p dp |
building | Verbundindex |
bvnumber | BV047136095 |
collection | ZDB-2-CWD |
ctrlnum | (ZDB-2-CWD)9781484266496 (OCoLC)1237590443 (DE-599)BVBBV047136095 |
dewey-full | 006.31 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.31 |
dewey-search | 006.31 |
dewey-sort | 16.31 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-1-4842-6649-6 |
edition | First edition |
format | Electronic eBook |
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">BV047136095</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240216</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210211s2021 xx a||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484266496</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4842-6649-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4842-6649-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-CWD)9781484266496</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1237590443</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047136095</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-1046</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.31</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Paper, David</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1162628936</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">TensorFlow 2.x in the colaboratory cloud</subfield><subfield code="b">an introduction to deep learning on Google’s cloud service</subfield><subfield code="c">David Paper</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berkeley, CA</subfield><subfield code="b">Apress</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXIII, 264 Seiten)</subfield><subfield code="b">5 Illustrationen</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">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Structures and Information Theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data structures (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Deep Learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">TensorFlow</subfield><subfield code="0">(DE-588)1153577011</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">TensorFlow</subfield><subfield code="0">(DE-588)1153577011</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Deep Learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</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">978-1-4842-6648-9</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">978-1-4842-6650-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</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-2-CWD</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-CWD_2021</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032542126</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-1043</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-1046</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-Aug4</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-573</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-M347</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-92</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-1051</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-859</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-860</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-863</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-862</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-523</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-6649-6</subfield><subfield code="l">DE-20</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV047136095 |
illustrated | Illustrated |
index_date | 2024-07-03T16:34:02Z |
indexdate | 2025-02-13T09:00:43Z |
institution | BVB |
isbn | 9781484266496 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032542126 |
oclc_num | 1237590443 |
open_access_boolean | |
owner | DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-M347 DE-573 DE-188 DE-523 DE-859 DE-863 DE-BY-FWS DE-1050 DE-20 DE-1051 DE-862 DE-BY-FWS DE-92 DE-860 DE-83 |
owner_facet | DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-M347 DE-573 DE-188 DE-523 DE-859 DE-863 DE-BY-FWS DE-1050 DE-20 DE-1051 DE-862 DE-BY-FWS DE-92 DE-860 DE-83 |
physical | 1 Online-Ressource (XXIII, 264 Seiten) 5 Illustrationen |
psigel | ZDB-2-CWD ZDB-2-CWD_2021 |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Apress |
record_format | marc |
spelling | Paper, David Verfasser (DE-588)1162628936 aut TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service David Paper First edition Berkeley, CA Apress [2021] 1 Online-Ressource (XXIII, 264 Seiten) 5 Illustrationen txt rdacontent c rdamedia cr rdacarrier Machine Learning Data Structures and Information Theory Artificial Intelligence Machine learning Data structures (Computer science) Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Deep Learning (DE-588)1135597375 gnd rswk-swf TensorFlow (DE-588)1153577011 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf TensorFlow (DE-588)1153577011 s Deep Learning (DE-588)1135597375 s Maschinelles Lernen (DE-588)4193754-5 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-4842-6648-9 Erscheint auch als Druck-Ausgabe 978-1-4842-6650-2 https://doi.org/10.1007/978-1-4842-6649-6 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Paper, David TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service Machine Learning Data Structures and Information Theory Artificial Intelligence Machine learning Data structures (Computer science) Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Deep Learning (DE-588)1135597375 gnd TensorFlow (DE-588)1153577011 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4033447-8 (DE-588)1135597375 (DE-588)1153577011 (DE-588)4193754-5 |
title | TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service |
title_auth | TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service |
title_exact_search | TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service |
title_exact_search_txtP | TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service |
title_full | TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service David Paper |
title_fullStr | TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service David Paper |
title_full_unstemmed | TensorFlow 2.x in the colaboratory cloud an introduction to deep learning on Google’s cloud service David Paper |
title_short | TensorFlow 2.x in the colaboratory cloud |
title_sort | tensorflow 2 x in the colaboratory cloud an introduction to deep learning on google s cloud service |
title_sub | an introduction to deep learning on Google’s cloud service |
topic | Machine Learning Data Structures and Information Theory Artificial Intelligence Machine learning Data structures (Computer science) Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Deep Learning (DE-588)1135597375 gnd TensorFlow (DE-588)1153577011 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Machine Learning Data Structures and Information Theory Artificial Intelligence Machine learning Data structures (Computer science) Artificial intelligence Künstliche Intelligenz Deep Learning TensorFlow Maschinelles Lernen |
url | https://doi.org/10.1007/978-1-4842-6649-6 |
work_keys_str_mv | AT paperdavid tensorflow2xinthecolaboratorycloudanintroductiontodeeplearningongooglescloudservice |