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Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices - Edge AI in Future Computing
Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices - Edge AI in Future Computing
This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it also discusses how to build AI models, i.e., model training and inference, on edge.
190 pages, 27 Tables, black and white; 26 Line drawings, black and white; 10 Halftones, black and wh
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 29. jūlijs |
| ISBN13 | 9780367698331 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 190 |
| Izmēri | 150 × 220 × 10 mm · 370 g |
| Valoda | Angļu |
| Redaktors | Gandomani, Taghi Javdani |
| Redaktors | Kukreja, Vinay |
| Redaktors | Singh, Amitoj |