Deep Learning mit TensorFlow, Keras und TensorFlow.js:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | German |
| Veröffentlicht: |
Bonn
Rheinwerk
2020
|
| Ausgabe: | 2., aktualisierte und erweiterte Auflage |
| Schriftenreihe: | Rheinwerk Computing
|
| Schlagworte: | |
| Online-Zugang: | DE-863 DE-862 DE-91 |
| Beschreibung: | Auf dem Cover: "2. Auflage zu TensorFlow 2, von der Aufbereitung der Daten bis zur Visualisierung, mit Python, HTML5 und JavaScript Deep Learning entdecken, inkl. tf.keras, TensorBoard, TensorFlow Hub, ml5.js, Migration nach TensorFlow 2 u. v. m., alle Beispielprojekte zum Download" |
| Beschreibung: | 1 Online-Ressource (499 Seiten) Illustrationen, Diagramme |
| ISBN: | 9783836274272 |
Internformat
MARC
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 857584 |
|---|---|
| _version_ | 1814849850099892224 |
| adam_text | |
| adam_txt | |
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| author | Deru, Matthieu Ndiaye, Alassane |
| author_GND | (DE-588)1186996420 (DE-588)1187002445 |
| author_facet | Deru, Matthieu Ndiaye, Alassane |
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| discipline | Informatik |
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| edition | 2., aktualisierte und erweiterte Auflage |
| format | Electronic eBook |
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| id | DE-604.BV046997318 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:55:33Z |
| indexdate | 2024-11-05T04:01:29Z |
| institution | BVB |
| institution_GND | (DE-588)1065964404 |
| isbn | 9783836274272 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032405046 |
| oclc_num | 1220908151 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-91G DE-BY-TUM DE-83 |
| owner_facet | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-91G DE-BY-TUM DE-83 |
| physical | 1 Online-Ressource (499 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-30-PQE ZDB-4-NLEBK ZDB-30-PQE TUM_Einzelkauf |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Rheinwerk |
| record_format | marc |
| series2 | Rheinwerk Computing |
| spellingShingle | Deru, Matthieu Ndiaye, Alassane Deep Learning mit TensorFlow, Keras und TensorFlow.js Keras Framework, Informatik (DE-588)1160521077 gnd JavaScript (DE-588)4420180-1 gnd Python Programmiersprache (DE-588)4434275-5 gnd TensorFlow (DE-588)1153577011 gnd HTML 5.0 (DE-588)7704810-6 gnd Deep learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)1160521077 (DE-588)4420180-1 (DE-588)4434275-5 (DE-588)1153577011 (DE-588)7704810-6 (DE-588)1135597375 |
| title | Deep Learning mit TensorFlow, Keras und TensorFlow.js |
| title_auth | Deep Learning mit TensorFlow, Keras und TensorFlow.js |
| title_exact_search | Deep Learning mit TensorFlow, Keras und TensorFlow.js |
| title_exact_search_txtP | Deep Learning mit TensorFlow, Keras und TensorFlow.js |
| title_full | Deep Learning mit TensorFlow, Keras und TensorFlow.js Matthieu Deru, Alassane Ndiaye |
| title_fullStr | Deep Learning mit TensorFlow, Keras und TensorFlow.js Matthieu Deru, Alassane Ndiaye |
| title_full_unstemmed | Deep Learning mit TensorFlow, Keras und TensorFlow.js Matthieu Deru, Alassane Ndiaye |
| title_short | Deep Learning mit TensorFlow, Keras und TensorFlow.js |
| title_sort | deep learning mit tensorflow keras und tensorflow js |
| topic | Keras Framework, Informatik (DE-588)1160521077 gnd JavaScript (DE-588)4420180-1 gnd Python Programmiersprache (DE-588)4434275-5 gnd TensorFlow (DE-588)1153577011 gnd HTML 5.0 (DE-588)7704810-6 gnd Deep learning (DE-588)1135597375 gnd |
| topic_facet | Keras Framework, Informatik JavaScript Python Programmiersprache TensorFlow HTML 5.0 Deep learning |
| work_keys_str_mv | AT derumatthieu deeplearningmittensorflowkerasundtensorflowjs AT ndiayealassane deeplearningmittensorflowkerasundtensorflowjs AT galileopress deeplearningmittensorflowkerasundtensorflowjs |