Normalization techniques in deep learning:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer
[2022]
|
| Schriftenreihe: | Synthesis lectures on computer vision
|
| Schlagwörter: | |
| Umfang: | xi, 110 Seiten Illustrationen (überwiegend farbig) |
| ISBN: | 9783031145940 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049588554 | ||
| 003 | DE-604 | ||
| 005 | 20240408 | ||
| 007 | t| | ||
| 008 | 240227s2022 xx a||| |||| 00||| eng d | ||
| 020 | |a 9783031145940 |9 978-3-031-14594-0 | ||
| 035 | |a (DE-599)BVBBV049588554 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-11 | ||
| 082 | 0 | |a 006.37 |2 23 | |
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 100 | 1 | |a Huang, Lei |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Normalization techniques in deep learning |c Lei Huang |
| 264 | 1 | |a Cham |b Springer |c [2022] | |
| 264 | 4 | |c © 2022 | |
| 300 | |a xi, 110 Seiten |b Illustrationen (überwiegend farbig) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Synthesis lectures on computer vision | |
| 650 | 4 | |a Computer Vision | |
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Mathematical Models of Cognitive Processes and Neural Networks | |
| 650 | 4 | |a Machine Learning | |
| 650 | 4 | |a Computer vision | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 4 | |a Machine learning | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-031-14595-7 |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034933280 | |
Datensatz im Suchindex
| _version_ | 1818991808810582016 |
|---|---|
| any_adam_object | |
| author | Huang, Lei |
| author_facet | Huang, Lei |
| author_role | aut |
| author_sort | Huang, Lei |
| author_variant | l h lh |
| building | Verbundindex |
| bvnumber | BV049588554 |
| classification_rvk | ST 300 |
| ctrlnum | (DE-599)BVBBV049588554 |
| dewey-full | 006.37 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.37 |
| dewey-search | 006.37 |
| dewey-sort | 16.37 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01255nam a2200397 c 4500</leader><controlfield tag="001">BV049588554</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240408 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">240227s2022 xx a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031145940</subfield><subfield code="9">978-3-031-14594-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049588554</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-11</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.37</subfield><subfield code="2">23</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">Huang, Lei</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Normalization techniques in deep learning</subfield><subfield code="c">Lei Huang</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xi, 110 Seiten</subfield><subfield code="b">Illustrationen (überwiegend 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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Synthesis lectures on computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Vision</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematical Models of Cognitive Processes and Neural Networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science) </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-3-031-14595-7</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034933280</subfield></datafield></record></collection> |
| id | DE-604.BV049588554 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T20:16:09Z |
| institution | BVB |
| isbn | 9783031145940 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034933280 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | xi, 110 Seiten Illustrationen (überwiegend farbig) |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| record_format | marc |
| series2 | Synthesis lectures on computer vision |
| spelling | Huang, Lei Verfasser aut Normalization techniques in deep learning Lei Huang Cham Springer [2022] © 2022 xi, 110 Seiten Illustrationen (überwiegend farbig) txt rdacontent n rdamedia nc rdacarrier Synthesis lectures on computer vision Computer Vision Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks Machine Learning Computer vision Artificial intelligence Neural networks (Computer science) Machine learning Erscheint auch als Online-Ausgabe 978-3-031-14595-7 |
| spellingShingle | Huang, Lei Normalization techniques in deep learning Computer Vision Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks Machine Learning Computer vision Artificial intelligence Neural networks (Computer science) Machine learning |
| title | Normalization techniques in deep learning |
| title_auth | Normalization techniques in deep learning |
| title_exact_search | Normalization techniques in deep learning |
| title_full | Normalization techniques in deep learning Lei Huang |
| title_fullStr | Normalization techniques in deep learning Lei Huang |
| title_full_unstemmed | Normalization techniques in deep learning Lei Huang |
| title_short | Normalization techniques in deep learning |
| title_sort | normalization techniques in deep learning |
| topic | Computer Vision Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks Machine Learning Computer vision Artificial intelligence Neural networks (Computer science) Machine learning |
| topic_facet | Computer Vision Artificial Intelligence Mathematical Models of Cognitive Processes and Neural Networks Machine Learning Computer vision Artificial intelligence Neural networks (Computer science) Machine learning |
| work_keys_str_mv | AT huanglei normalizationtechniquesindeeplearning |