Keras to Kubernetes: the journey of a machine learning model to production
Build a Keras model to scale and deploy on a Kubernetes cluster. We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from retail to manufacturing to healthcare to entertainment. Within AI...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Indianapolis, IN
Wiley
[2019]
|
| Schlagworte: | |
| Online-Zugang: | FCO01 FHA01 UBY01 Volltext Buchcover |
| Zusammenfassung: | Build a Keras model to scale and deploy on a Kubernetes cluster. We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from retail to manufacturing to healthcare to entertainment. Within AI, we're seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning relationships from labeled (Supervised) or unlabeled data (Unsupervised). DL has many layers of learning and can extract patterns from unstructured data like images, video, audio, etc. Keras to Kubernetes: The Journey of a Machine Learning Model to Production takes you through real-world examples of building DL models in Keras for recognizing product logos in images and extracting sentiment from text. You will then take that trained model and package it as a web application container before learning how to deploy this model at scale on a Kubernetes cluster. You will understand the different practical steps involved in real-world ML implementations which go beyond the algorithms |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xviii, 302 Seiten) |
| ISBN: | 9781119564874 1119564875 9781119564867 9781119564843 1119564840 |
| DOI: | 10.1002/9781119564843 |
Internformat
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Datensatz im Suchindex
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| author | Rao, Dattaraj |
| author_facet | Rao, Dattaraj |
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| discipline | Informatik |
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| format | Electronic eBook |
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| indexdate | 2024-07-10T08:44:24Z |
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| isbn | 9781119564874 1119564875 9781119564867 9781119564843 1119564840 |
| language | English |
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| spelling | Rao, Dattaraj Verfasser aut Keras to Kubernetes the journey of a machine learning model to production Dattaraj Jagdish Rao Indianapolis, IN Wiley [2019] © 2019 1 Online-Ressource (xviii, 302 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Build a Keras model to scale and deploy on a Kubernetes cluster. We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from retail to manufacturing to healthcare to entertainment. Within AI, we're seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning relationships from labeled (Supervised) or unlabeled data (Unsupervised). DL has many layers of learning and can extract patterns from unstructured data like images, video, audio, etc. Keras to Kubernetes: The Journey of a Machine Learning Model to Production takes you through real-world examples of building DL models in Keras for recognizing product logos in images and extracting sentiment from text. You will then take that trained model and package it as a web application container before learning how to deploy this model at scale on a Kubernetes cluster. You will understand the different practical steps involved in real-world ML implementations which go beyond the algorithms Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Kubernetes (DE-588)1153019000 gnd rswk-swf Innovationsmanagement (DE-588)4161817-8 gnd rswk-swf Keras Framework, Informatik (DE-588)1160521077 gnd rswk-swf Unternehmen (DE-588)4061963-1 gnd rswk-swf Produktplanung (DE-588)4135135-6 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Unternehmen (DE-588)4061963-1 s Künstliche Intelligenz (DE-588)4033447-8 s Produktplanung (DE-588)4135135-6 s Innovationsmanagement (DE-588)4161817-8 s DE-604 Maschinelles Lernen (DE-588)4193754-5 s Kubernetes (DE-588)1153019000 s Keras Framework, Informatik (DE-588)1160521077 s Deep learning (DE-588)1135597375 s Erscheint auch als Druck-Ausgabe 978-1-119-56483-6 Erscheint auch als Druck-Ausgabe 1-119-56483-2 https://doi.org/10.1002/9781119564843 Verlag URL des Erstveröffentlichers Volltext SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031842722&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Buchcover |
| spellingShingle | Rao, Dattaraj Keras to Kubernetes the journey of a machine learning model to production Maschinelles Lernen (DE-588)4193754-5 gnd Kubernetes (DE-588)1153019000 gnd Innovationsmanagement (DE-588)4161817-8 gnd Keras Framework, Informatik (DE-588)1160521077 gnd Unternehmen (DE-588)4061963-1 gnd Produktplanung (DE-588)4135135-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Deep learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)1153019000 (DE-588)4161817-8 (DE-588)1160521077 (DE-588)4061963-1 (DE-588)4135135-6 (DE-588)4033447-8 (DE-588)1135597375 |
| title | Keras to Kubernetes the journey of a machine learning model to production |
| title_auth | Keras to Kubernetes the journey of a machine learning model to production |
| title_exact_search | Keras to Kubernetes the journey of a machine learning model to production |
| title_full | Keras to Kubernetes the journey of a machine learning model to production Dattaraj Jagdish Rao |
| title_fullStr | Keras to Kubernetes the journey of a machine learning model to production Dattaraj Jagdish Rao |
| title_full_unstemmed | Keras to Kubernetes the journey of a machine learning model to production Dattaraj Jagdish Rao |
| title_short | Keras to Kubernetes |
| title_sort | keras to kubernetes the journey of a machine learning model to production |
| title_sub | the journey of a machine learning model to production |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Kubernetes (DE-588)1153019000 gnd Innovationsmanagement (DE-588)4161817-8 gnd Keras Framework, Informatik (DE-588)1160521077 gnd Unternehmen (DE-588)4061963-1 gnd Produktplanung (DE-588)4135135-6 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Deep learning (DE-588)1135597375 gnd |
| topic_facet | Maschinelles Lernen Kubernetes Innovationsmanagement Keras Framework, Informatik Unternehmen Produktplanung Künstliche Intelligenz Deep learning |
| url | https://doi.org/10.1002/9781119564843 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031842722&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT raodattaraj kerastokubernetesthejourneyofamachinelearningmodeltoproduction |