Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt
August 2018
|
| Schlagworte: | |
| Online-Zugang: | UER01 |
| Beschreibung: | 1 Online-Ressource (329 pages) |
| ISBN: | 9781789806991 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV045505237 | ||
| 003 | DE-604 | ||
| 005 | 20230302 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 190311s2018 |||| o||u| ||||||eng d | ||
| 020 | |a 9781789806991 |9 978-1-78980-699-1 | ||
| 035 | |a (OCoLC)1104874020 | ||
| 035 | |a (DE-599)GBV1030619018 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-83 |a DE-29 | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 100 | 1 | |a Galea, Alex |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Applied deep learning with Python |b use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |c Alex Galea, Luis Capelo |
| 264 | 1 | |a Birmingham |b Packt |c August 2018 | |
| 300 | |a 1 Online-Ressource (329 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 650 | 0 | 7 | |a Keras |g Framework, Informatik |0 (DE-588)1160521077 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Deep learning |0 (DE-588)1135597375 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python 3.x |0 (DE-588)7692360-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Keras |g Framework, Informatik |0 (DE-588)1160521077 |D s |
| 689 | 0 | 1 | |a Deep learning |0 (DE-588)1135597375 |D s |
| 689 | 0 | 2 | |a Python 3.x |0 (DE-588)7692360-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Capelo, Luis |e Verfasser |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-78980-474-4 |
| 912 | |a ZDB-4-NLEBK |a ZDB-5-WPSE | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030889846 | ||
| 966 | e | |u https://ebookcentral.proquest.com/lib/erlangen/detail.action?docID=5507773 |l UER01 |p ZDB-30-PQE |q UER_PDA_PQE_Kauf_2023 |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804179443907821568 |
|---|---|
| any_adam_object | |
| author | Galea, Alex Capelo, Luis |
| author_facet | Galea, Alex Capelo, Luis |
| author_role | aut aut |
| author_sort | Galea, Alex |
| author_variant | a g ag l c lc |
| building | Verbundindex |
| bvnumber | BV045505237 |
| classification_rvk | ST 250 ST 300 |
| collection | ZDB-4-NLEBK ZDB-5-WPSE |
| ctrlnum | (OCoLC)1104874020 (DE-599)GBV1030619018 |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01638nmm a2200409 c 4500</leader><controlfield tag="001">BV045505237</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230302 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190311s2018 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789806991</subfield><subfield code="9">978-1-78980-699-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1104874020</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBV1030619018</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-83</subfield><subfield code="a">DE-29</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</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">Galea, Alex</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Applied deep learning with Python</subfield><subfield code="b">use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions</subfield><subfield code="c">Alex Galea, Luis Capelo</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt</subfield><subfield code="c">August 2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (329 pages)</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="0" ind2="7"><subfield code="a">Keras</subfield><subfield code="g">Framework, Informatik</subfield><subfield code="0">(DE-588)1160521077</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">Python 3.x</subfield><subfield code="0">(DE-588)7692360-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Keras</subfield><subfield code="g">Framework, Informatik</subfield><subfield code="0">(DE-588)1160521077</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">Python 3.x</subfield><subfield code="0">(DE-588)7692360-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Capelo, Luis</subfield><subfield code="e">Verfasser</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">978-1-78980-474-4</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-NLEBK</subfield><subfield code="a">ZDB-5-WPSE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030889846</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/erlangen/detail.action?docID=5507773</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UER_PDA_PQE_Kauf_2023</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045505237 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:19:57Z |
| institution | BVB |
| isbn | 9781789806991 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030889846 |
| oclc_num | 1104874020 |
| open_access_boolean | |
| owner | DE-83 DE-29 |
| owner_facet | DE-83 DE-29 |
| physical | 1 Online-Ressource (329 pages) |
| psigel | ZDB-4-NLEBK ZDB-5-WPSE ZDB-30-PQE UER_PDA_PQE_Kauf_2023 |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Packt |
| record_format | marc |
| spelling | Galea, Alex Verfasser aut Applied deep learning with Python use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions Alex Galea, Luis Capelo Birmingham Packt August 2018 1 Online-Ressource (329 pages) txt rdacontent c rdamedia cr rdacarrier Keras Framework, Informatik (DE-588)1160521077 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Python 3.x (DE-588)7692360-5 gnd rswk-swf Keras Framework, Informatik (DE-588)1160521077 s Deep learning (DE-588)1135597375 s Python 3.x (DE-588)7692360-5 s DE-604 Capelo, Luis Verfasser aut Erscheint auch als Druck-Ausgabe 978-1-78980-474-4 |
| spellingShingle | Galea, Alex Capelo, Luis Applied deep learning with Python use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions Keras Framework, Informatik (DE-588)1160521077 gnd Deep learning (DE-588)1135597375 gnd Python 3.x (DE-588)7692360-5 gnd |
| subject_GND | (DE-588)1160521077 (DE-588)1135597375 (DE-588)7692360-5 |
| title | Applied deep learning with Python use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title_auth | Applied deep learning with Python use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title_exact_search | Applied deep learning with Python use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| title_full | Applied deep learning with Python use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions Alex Galea, Luis Capelo |
| title_fullStr | Applied deep learning with Python use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions Alex Galea, Luis Capelo |
| title_full_unstemmed | Applied deep learning with Python use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions Alex Galea, Luis Capelo |
| title_short | Applied deep learning with Python |
| title_sort | applied deep learning with python use scikit learn tensorflow and keras to create intelligent systems and machine learning solutions |
| title_sub | use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions |
| topic | Keras Framework, Informatik (DE-588)1160521077 gnd Deep learning (DE-588)1135597375 gnd Python 3.x (DE-588)7692360-5 gnd |
| topic_facet | Keras Framework, Informatik Deep learning Python 3.x |
| work_keys_str_mv | AT galeaalex applieddeeplearningwithpythonusescikitlearntensorflowandkerastocreateintelligentsystemsandmachinelearningsolutions AT capeloluis applieddeeplearningwithpythonusescikitlearntensorflowandkerastocreateintelligentsystemsandmachinelearningsolutions |