Learn computer vision using OpenCV: with deep learning CNNs and RNNs
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berkeley, CA
Apress
[2019]
|
Schlagworte: | |
Online-Zugang: | FAW01 FHA01 FHI01 FHM01 FHN01 FHO01 FHR01 FKE01 FWS01 FWS02 HTW01 UBW01 URL des Erstveröffentlichers |
Beschreibung: | 1 Online-Ressource (XX, 151 Seiten) 88 Illustrationen, 61 Illustrationen (farbig) |
ISBN: | 9781484242612 |
DOI: | 10.1007/978-1-4842-4261-2 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV045860876 | ||
003 | DE-604 | ||
005 | 20230119 | ||
007 | cr|uuu---uuuuu | ||
008 | 190506s2019 |||| o||u| ||||||eng d | ||
020 | |a 9781484242612 |c Online |9 978-1-4842-4261-2 | ||
024 | 7 | |a 10.1007/978-1-4842-4261-2 |2 doi | |
035 | |a (ZDB-2-CWD)9781484242612 | ||
035 | |a (OCoLC)1137099785 | ||
035 | |a (DE-599)BVBBV045860876 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-1046 |a DE-Aug4 |a DE-898 |a DE-M347 |a DE-573 |a DE-523 |a DE-859 |a DE-863 |a DE-20 |a DE-1051 |a DE-862 |a DE-92 |a DE-83 | ||
082 | 0 | |a 006.3 |2 23 | |
100 | 1 | |a Gollapudi, Sunila |e Verfasser |0 (DE-588)1097414108 |4 aut | |
245 | 1 | 0 | |a Learn computer vision using OpenCV |b with deep learning CNNs and RNNs |c Sunila Gollapudi ; foreword by V Laxmikanth |
264 | 1 | |a Berkeley, CA |b Apress |c [2019] | |
264 | 4 | |c © 2019 | |
300 | |a 1 Online-Ressource (XX, 151 Seiten) |b 88 Illustrationen, 61 Illustrationen (farbig) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
650 | 4 | |a Artificial Intelligence | |
650 | 4 | |a Python | |
650 | 4 | |a Open Source | |
650 | 4 | |a Artificial intelligence | |
650 | 4 | |a Python (Computer program language) | |
650 | 4 | |a Open source software | |
650 | 4 | |a Computer programming | |
650 | 0 | 7 | |a OpenCV |0 (DE-588)1038770092 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Deep learning |0 (DE-588)1135597375 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |D s |
689 | 0 | 1 | |a OpenCV |0 (DE-588)1038770092 |D s |
689 | 0 | 2 | |a Deep learning |0 (DE-588)1135597375 |D s |
689 | 0 | 3 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-4260-5 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-4262-9 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4842-4261-2 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-2-CWD | ||
940 | 1 | |q ZDB-2-CWD_2019 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-031244366 | ||
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FAW01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FHA01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FHI01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FHM01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FHN01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FHO01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FHR01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FKE01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FWS01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l FWS02 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l HTW01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-4261-2 |l UBW01 |p ZDB-2-CWD |x Verlag |3 Volltext |
Datensatz im Suchindex
DE-BY-FWS_katkey | 723112 |
---|---|
_version_ | 1806188165164171264 |
any_adam_object | |
author | Gollapudi, Sunila |
author_GND | (DE-588)1097414108 |
author_facet | Gollapudi, Sunila |
author_role | aut |
author_sort | Gollapudi, Sunila |
author_variant | s g sg |
building | Verbundindex |
bvnumber | BV045860876 |
collection | ZDB-2-CWD |
ctrlnum | (ZDB-2-CWD)9781484242612 (OCoLC)1137099785 (DE-599)BVBBV045860876 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-1-4842-4261-2 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03306nmm a2200697zc 4500</leader><controlfield tag="001">BV045860876</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230119 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190506s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484242612</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4842-4261-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4842-4261-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-CWD)9781484242612</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1137099785</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045860876</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-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-863</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-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gollapudi, Sunila</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1097414108</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Learn computer vision using OpenCV</subfield><subfield code="b">with deep learning CNNs and RNNs</subfield><subfield code="c">Sunila Gollapudi ; foreword by V Laxmikanth</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berkeley, CA</subfield><subfield code="b">Apress</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XX, 151 Seiten)</subfield><subfield code="b">88 Illustrationen, 61 Illustrationen (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="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Open Source</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Open source software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer programming</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">OpenCV</subfield><subfield code="0">(DE-588)1038770092</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</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="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">OpenCV</subfield><subfield code="0">(DE-588)1038770092</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><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="3"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</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">978-1-4842-4260-5</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">978-1-4842-4262-9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4842-4261-2</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_2019</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031244366</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FAW01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FHA01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FHI01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FHM01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FHN01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FHO01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FHR01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FKE01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FWS01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">FWS02</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">HTW01</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/10.1007/978-1-4842-4261-2</subfield><subfield code="l">UBW01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV045860876 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T14:27:43Z |
institution | BVB |
isbn | 9781484242612 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031244366 |
oclc_num | 1137099785 |
open_access_boolean | |
owner | DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-M347 DE-573 DE-523 DE-859 DE-863 DE-BY-FWS DE-20 DE-1051 DE-862 DE-BY-FWS DE-92 DE-83 |
owner_facet | DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-M347 DE-573 DE-523 DE-859 DE-863 DE-BY-FWS DE-20 DE-1051 DE-862 DE-BY-FWS DE-92 DE-83 |
physical | 1 Online-Ressource (XX, 151 Seiten) 88 Illustrationen, 61 Illustrationen (farbig) |
psigel | ZDB-2-CWD ZDB-2-CWD_2019 |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Apress |
record_format | marc |
spellingShingle | Gollapudi, Sunila Learn computer vision using OpenCV with deep learning CNNs and RNNs Artificial Intelligence Python Open Source Artificial intelligence Python (Computer program language) Open source software Computer programming OpenCV (DE-588)1038770092 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Python Programmiersprache (DE-588)4434275-5 gnd Deep learning (DE-588)1135597375 gnd |
subject_GND | (DE-588)1038770092 (DE-588)4129594-8 (DE-588)4434275-5 (DE-588)1135597375 |
title | Learn computer vision using OpenCV with deep learning CNNs and RNNs |
title_auth | Learn computer vision using OpenCV with deep learning CNNs and RNNs |
title_exact_search | Learn computer vision using OpenCV with deep learning CNNs and RNNs |
title_full | Learn computer vision using OpenCV with deep learning CNNs and RNNs Sunila Gollapudi ; foreword by V Laxmikanth |
title_fullStr | Learn computer vision using OpenCV with deep learning CNNs and RNNs Sunila Gollapudi ; foreword by V Laxmikanth |
title_full_unstemmed | Learn computer vision using OpenCV with deep learning CNNs and RNNs Sunila Gollapudi ; foreword by V Laxmikanth |
title_short | Learn computer vision using OpenCV |
title_sort | learn computer vision using opencv with deep learning cnns and rnns |
title_sub | with deep learning CNNs and RNNs |
topic | Artificial Intelligence Python Open Source Artificial intelligence Python (Computer program language) Open source software Computer programming OpenCV (DE-588)1038770092 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Python Programmiersprache (DE-588)4434275-5 gnd Deep learning (DE-588)1135597375 gnd |
topic_facet | Artificial Intelligence Python Open Source Artificial intelligence Python (Computer program language) Open source software Computer programming OpenCV Maschinelles Sehen Python Programmiersprache Deep learning |
url | https://doi.org/10.1007/978-1-4842-4261-2 |
work_keys_str_mv | AT gollapudisunila learncomputervisionusingopencvwithdeeplearningcnnsandrnns |