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Convolutional Neural Networks in Visual Computing: A Concise Guide - Data-Enabled Engineering Venkatesan, Ragav (Arizona State University, Tempe, USA) 1. izdevums
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Convolutional Neural Networks in Visual Computing: A Concise Guide - Data-Enabled Engineering
Venkatesan, Ragav (Arizona State University, Tempe, USA)
This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems.
226 pages, 5 black & white tables, 23 black & white halftones, 37 black & white line drawings
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2017. gada 7. septembris |
| ISBN13 | 9781138747951 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 168 |
| Izmēri | 233 × 158 × 17 mm · 298 g |
| Valoda | Angļu |
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