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Development and Analysis of Deep Learning Architectures - Studies in Computational Intelligence 2020 edition
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Development and Analysis of Deep Learning Architectures - Studies in Computational Intelligence
Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design.
292 pages, 120 Illustrations, color; 15 Illustrations, black and white; XI, 292 p. 135 illus., 120 i
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 13. novembris |
| ISBN13 | 9783030317669 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 292 |
| Izmēri | 150 × 220 × 10 mm · 430 g |
| Valoda | Vācu |
| Redaktors | Chen, Shyi-Ming |
| Redaktors | Pedrycz, Witold |
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