Applied deep learning: a case-based approach to understanding deep neural networks
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berkeley, CA
Apress
[2018]
|
Schlagworte: | |
Online-Zugang: | FAW01 FHA01 FHI01 FHM01 FHN01 FHO01 FHR01 FKE01 FWS01 FWS02 HTW01 UER01 Volltext |
Beschreibung: | 1 Online-Ressource (XXI, 410 Seiten) 178 Illustrationen, 7 Illustrationen (farbig) |
ISBN: | 9781484237908 |
DOI: | 10.1007/978-1-4842-3790-8 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV045274751 | ||
003 | DE-604 | ||
005 | 20190624 | ||
007 | cr|uuu---uuuuu | ||
008 | 181107s2018 |||| o||u| ||||||eng d | ||
020 | |a 9781484237908 |c Online |9 978-1-4842-3790-8 | ||
024 | 7 | |a 10.1007/978-1-4842-3790-8 |2 doi | |
035 | |a (ZDB-2-CWD)9781484237908 | ||
035 | |a (OCoLC)1065952947 | ||
035 | |a (DE-599)BVBBV045274751 | ||
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-29 |a DE-863 |a DE-1051 |a DE-862 |a DE-92 |a DE-83 | ||
082 | 0 | |a 006 |2 23 | |
084 | |a ST 302 |0 (DE-625)143652: |2 rvk | ||
084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
100 | 1 | |a Michelucci, Umberto |e Verfasser |0 (DE-588)1170709281 |4 aut | |
245 | 1 | 0 | |a Applied deep learning |b a case-based approach to understanding deep neural networks |c Umberto Michelucci |
264 | 1 | |a Berkeley, CA |b Apress |c [2018] | |
300 | |a 1 Online-Ressource (XXI, 410 Seiten) |b 178 Illustrationen, 7 Illustrationen (farbig) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
650 | 4 | |a Computing Methodologies | |
650 | 4 | |a Python | |
650 | 4 | |a Open Source | |
650 | 4 | |a Big Data | |
650 | 4 | |a Electronic data processing | |
650 | 4 | |a Python (Computer program language) | |
650 | 4 | |a Open source software | |
650 | 4 | |a Computer programming | |
650 | 4 | |a Big data | |
650 | 0 | 7 | |a Deep learning |0 (DE-588)1135597375 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Deep learning |0 (DE-588)1135597375 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-3789-2 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-3791-5 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4842-3790-8 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-2-CWD |a ZDB-4-NLEBK | ||
940 | 1 | |q ZDB-2-CWD_2018 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-030662437 | ||
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FAW01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FHA01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FHI01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FHM01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FHN01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FHO01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FHR01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FKE01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FWS01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l FWS02 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l HTW01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4842-3790-8 |l UER01 |p ZDB-2-CWD |x Verlag |3 Volltext |
Datensatz im Suchindex
DE-BY-FWS_katkey | 706482 |
---|---|
_version_ | 1806185551968075776 |
any_adam_object | |
author | Michelucci, Umberto |
author_GND | (DE-588)1170709281 |
author_facet | Michelucci, Umberto |
author_role | aut |
author_sort | Michelucci, Umberto |
author_variant | u m um |
building | Verbundindex |
bvnumber | BV045274751 |
classification_rvk | ST 302 ST 300 |
collection | ZDB-2-CWD ZDB-4-NLEBK |
ctrlnum | (ZDB-2-CWD)9781484237908 (OCoLC)1065952947 (DE-599)BVBBV045274751 |
dewey-full | 006 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006 |
dewey-search | 006 |
dewey-sort | 16 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-1-4842-3790-8 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03056nmm a2200661zc 4500</leader><controlfield tag="001">BV045274751</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20190624 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181107s2018 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484237908</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4842-3790-8</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4842-3790-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-CWD)9781484237908</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1065952947</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045274751</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-29</subfield><subfield code="a">DE-863</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</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 302</subfield><subfield code="0">(DE-625)143652:</subfield><subfield code="2">rvk</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="100" ind1="1" ind2=" "><subfield code="a">Michelucci, Umberto</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1170709281</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Applied deep learning</subfield><subfield code="b">a case-based approach to understanding deep neural networks</subfield><subfield code="c">Umberto Michelucci</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berkeley, CA</subfield><subfield code="b">Apress</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXI, 410 Seiten)</subfield><subfield code="b">178 Illustrationen, 7 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">Computing Methodologies</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">Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic data processing</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=" " ind2="4"><subfield code="a">Big data</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">Deep learning</subfield><subfield code="0">(DE-588)1135597375</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">978-1-4842-3789-2</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">978-1-4842-3791-5</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4842-3790-8</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><subfield code="a">ZDB-4-NLEBK</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-CWD_2018</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030662437</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</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/10.1007/978-1-4842-3790-8</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV045274751 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T13:46:11Z |
institution | BVB |
isbn | 9781484237908 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030662437 |
oclc_num | 1065952947 |
open_access_boolean | |
owner | DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-M347 DE-573 DE-523 DE-859 DE-29 DE-863 DE-BY-FWS 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-29 DE-863 DE-BY-FWS DE-1051 DE-862 DE-BY-FWS DE-92 DE-83 |
physical | 1 Online-Ressource (XXI, 410 Seiten) 178 Illustrationen, 7 Illustrationen (farbig) |
psigel | ZDB-2-CWD ZDB-4-NLEBK ZDB-2-CWD_2018 |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Apress |
record_format | marc |
spellingShingle | Michelucci, Umberto Applied deep learning a case-based approach to understanding deep neural networks Computing Methodologies Python Open Source Big Data Electronic data processing Python (Computer program language) Open source software Computer programming Big data Deep learning (DE-588)1135597375 gnd |
subject_GND | (DE-588)1135597375 |
title | Applied deep learning a case-based approach to understanding deep neural networks |
title_auth | Applied deep learning a case-based approach to understanding deep neural networks |
title_exact_search | Applied deep learning a case-based approach to understanding deep neural networks |
title_full | Applied deep learning a case-based approach to understanding deep neural networks Umberto Michelucci |
title_fullStr | Applied deep learning a case-based approach to understanding deep neural networks Umberto Michelucci |
title_full_unstemmed | Applied deep learning a case-based approach to understanding deep neural networks Umberto Michelucci |
title_short | Applied deep learning |
title_sort | applied deep learning a case based approach to understanding deep neural networks |
title_sub | a case-based approach to understanding deep neural networks |
topic | Computing Methodologies Python Open Source Big Data Electronic data processing Python (Computer program language) Open source software Computer programming Big data Deep learning (DE-588)1135597375 gnd |
topic_facet | Computing Methodologies Python Open Source Big Data Electronic data processing Python (Computer program language) Open source software Computer programming Big data Deep learning |
url | https://doi.org/10.1007/978-1-4842-3790-8 |
work_keys_str_mv | AT michelucciumberto applieddeeplearningacasebasedapproachtounderstandingdeepneuralnetworks |