Applied deep learning with Python: use Scikit-Learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Birmingham, Mumbai
Packt
2018
|
Schlagworte: | |
Beschreibung: | IV, 323 Seiten Illustrationen, Diagramme |
ISBN: | 9781789804744 |
Internformat
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035 | |a (OCoLC)1105595655 | ||
035 | |a (DE-599)BVBBV045884083 | ||
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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, Mumbai |b Packt |c 2018 | |
264 | 4 | |c © 2018 | |
300 | |a IV, 323 Seiten |b Illustrationen, Diagramme | ||
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689 | 0 | 1 | |a Deep learning |0 (DE-588)1135597375 |D s |
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776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-78980-699-1 |
999 | |a oai:aleph.bib-bvb.de:BVB01-031267187 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk |
Datensatz im Suchindex
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any_adam_object | |
author | Galea, Alex |
author_facet | Galea, Alex |
author_role | aut |
author_sort | Galea, Alex |
author_variant | a g ag |
building | Verbundindex |
bvnumber | BV045884083 |
classification_rvk | ST 250 ST 300 |
ctrlnum | (OCoLC)1105595655 (DE-599)BVBBV045884083 |
discipline | Informatik |
format | Book |
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id | DE-604.BV045884083 |
illustrated | Illustrated |
indexdate | 2024-07-10T08:29:21Z |
institution | BVB |
isbn | 9781789804744 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031267187 |
oclc_num | 1105595655 |
open_access_boolean | |
owner | DE-11 |
owner_facet | DE-11 |
physical | IV, 323 Seiten Illustrationen, Diagramme |
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, Mumbai Packt 2018 © 2018 IV, 323 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Deep learning (DE-588)1135597375 gnd rswk-swf Keras Framework, Informatik (DE-588)1160521077 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 1\p DE-604 Capelo, Luis Sonstige oth Erscheint auch als Online-Ausgabe 978-1-78980-699-1 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Galea, Alex Applied deep learning with Python use Scikit-Learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions Deep learning (DE-588)1135597375 gnd Keras Framework, Informatik (DE-588)1160521077 gnd Python 3.x (DE-588)7692360-5 gnd |
subject_GND | (DE-588)1135597375 (DE-588)1160521077 (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 | Deep learning (DE-588)1135597375 gnd Keras Framework, Informatik (DE-588)1160521077 gnd Python 3.x (DE-588)7692360-5 gnd |
topic_facet | Deep learning Keras Framework, Informatik Python 3.x |
work_keys_str_mv | AT galeaalex applieddeeplearningwithpythonusescikitlearntensorflowandkerastocreateintelligentsystemsandmachinelearningsolutions AT capeloluis applieddeeplearningwithpythonusescikitlearntensorflowandkerastocreateintelligentsystemsandmachinelearningsolutions |