Variational Methods for Machine Learning with Applications to Deep Networks:
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2021
Cham Springer |
| Ausgabe: | 1st ed. 2021 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FCO01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 UER01 Volltext |
| Beschreibung: | 1 Online-Ressource (XIV, 165 p. 54 illus., 33 illus. in color) |
| ISBN: | 9783030706791 |
| DOI: | 10.1007/978-3-030-70679-1 |
Internformat
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:27:44Z |
| indexdate | 2024-08-01T16:13:55Z |
| institution | BVB |
| isbn | 9783030706791 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032719813 |
| oclc_num | 1256424040 |
| open_access_boolean | |
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| physical | 1 Online-Ressource (XIV, 165 p. 54 illus., 33 illus. in color) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2021_Fremddaten |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| spellingShingle | Cinelli, Lucas Pinheiro Marins, Matheus Araújo Barros da Silva, Eduardo Antônio Netto, Sérgio Lima Variational Methods for Machine Learning with Applications to Deep Networks Communications Engineering, Networks Machine Learning Computational Intelligence Data Mining and Knowledge Discovery Electrical engineering Machine learning Computational intelligence Data mining |
| title | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_auth | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_exact_search | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_exact_search_txtP | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_full | Variational Methods for Machine Learning with Applications to Deep Networks by Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto |
| title_fullStr | Variational Methods for Machine Learning with Applications to Deep Networks by Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto |
| title_full_unstemmed | Variational Methods for Machine Learning with Applications to Deep Networks by Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto |
| title_short | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_sort | variational methods for machine learning with applications to deep networks |
| topic | Communications Engineering, Networks Machine Learning Computational Intelligence Data Mining and Knowledge Discovery Electrical engineering Machine learning Computational intelligence Data mining |
| topic_facet | Communications Engineering, Networks Machine Learning Computational Intelligence Data Mining and Knowledge Discovery Electrical engineering Machine learning Computational intelligence Data mining |
| url | https://doi.org/10.1007/978-3-030-70679-1 |
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