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Link zu diesem Datensatz | https://d-nb.info/1351672908 |
Titel | Building Scalable Deep Learning Pipelines on AWS : Develop, Train, and Deploy Deep Learning Models / by Abdelaziz Testas |
Person(en) | Testas, Abdelaziz (Verfasser) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2024 |
Verlag | Berkeley, CA : Apress, Imprint: Apress |
Zeitliche Einordnung | Erscheinungsdatum: 2024 |
Umfang/Format | Online-Ressource, XX, 760 p. 24 illus., 23 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 9798868810169 Printed edition:: ISBN: 9798868810183 |
Inhalt | Chapter 1: Overview of Scalable Deep Learning Pipelines on AWS -- Chapter 2: Setting Up a Deep Learning Environment on AWS -- Chapter 3: Data Preparation with PySpark for Deep Learning -- Chapter 4: Deep Learning with PyTorch for Regression -- Chapter 5: Deep Learning with TensorFlow for Regression -- Chapter 6: Deep Learning with PyTorch for Classification -- Chapter 7: Deep Learning with TensorFlow for Classification -- Chapter 8: Scalable Deep Learning Pipelines with Apache Airflow -- Chapter 9: Techniques for Improving Model Performance -- Chapter 10: Deploying and Monitoring Deep Learning Models |
Persistent Identifier |
URN: urn:nbn:de:101:1-2412200309429.932763384366 DOI: 10.1007/979-8-8688-1017-6 |
URL | https://doi.org/10.1007/979-8-8688-1017-6 |
ISBN/Einband/Preis | 979-8-8688-1017-6 |
Sprache(n) | Englisch (eng) |
DDC-Notation | 150 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 150 Psychologie |
Online-Zugriff | Archivobjekt öffnen |
