Deep learning: fundamentals, theory and applications
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham
Springer Nature
[2019]
|
| Series: | Cognitive Computation Trends
Volume 2 |
| Subjects: | |
| Physical Description: | vii, 163 pages Illustrationen, Diagramme |
Staff View
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| id | DE-604.BV045902410 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:29:52Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031285189 |
| oclc_num | 1104871430 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | vii, 163 pages Illustrationen, Diagramme |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Springer Nature |
| record_format | marc |
| series | Cognitive Computation Trends |
| series2 | Cognitive Computation Trends |
| spelling | Deep learning fundamentals, theory and applications Kaizhu Huang, Amir Hussain, Qui-Feng Wang, Rui Zhang, editors Cham Springer Nature [2019] vii, 163 pages Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Cognitive Computation Trends Volume 2 Computational learning theory Machine learning Artificial intelligence Neural networks (Computer science) Artificial intelligence fast Computational learning theory fast Machine learning fast Neural networks (Computer science) fast Huang, Kaizhu edt Hussain, Amir edt Wang, Qui-Feng Sonstige oth Zhang, Rui Sonstige oth Erscheint auch als Online-Ausgabe 978-3-030-06073-2 Cognitive Computation Trends Volume 2 (DE-604)BV045923891 2 |
| spellingShingle | Deep learning fundamentals, theory and applications Cognitive Computation Trends Computational learning theory Machine learning Artificial intelligence Neural networks (Computer science) Artificial intelligence fast Computational learning theory fast Machine learning fast Neural networks (Computer science) fast |
| title | Deep learning fundamentals, theory and applications |
| title_auth | Deep learning fundamentals, theory and applications |
| title_exact_search | Deep learning fundamentals, theory and applications |
| title_full | Deep learning fundamentals, theory and applications Kaizhu Huang, Amir Hussain, Qui-Feng Wang, Rui Zhang, editors |
| title_fullStr | Deep learning fundamentals, theory and applications Kaizhu Huang, Amir Hussain, Qui-Feng Wang, Rui Zhang, editors |
| title_full_unstemmed | Deep learning fundamentals, theory and applications Kaizhu Huang, Amir Hussain, Qui-Feng Wang, Rui Zhang, editors |
| title_short | Deep learning |
| title_sort | deep learning fundamentals theory and applications |
| title_sub | fundamentals, theory and applications |
| topic | Computational learning theory Machine learning Artificial intelligence Neural networks (Computer science) Artificial intelligence fast Computational learning theory fast Machine learning fast Neural networks (Computer science) fast |
| topic_facet | Computational learning theory Machine learning Artificial intelligence Neural networks (Computer science) |
| volume_link | (DE-604)BV045923891 |
| work_keys_str_mv | AT huangkaizhu deeplearningfundamentalstheoryandapplications AT hussainamir deeplearningfundamentalstheoryandapplications AT wangquifeng deeplearningfundamentalstheoryandapplications AT zhangrui deeplearningfundamentalstheoryandapplications |