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Deep Learning for Engineers Arif, Tariq M. (Weber State University Ogden, UT)
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Deep Learning for Engineers
Arif, Tariq M. (Weber State University Ogden, UT)
Introduces fundamental principles of deep learning with the explanation of basic elements required for understanding and applying deep learning models. Features coding structure using Python and PyTorch, presenting four typical deep learning case studies on image classification, object detection, semantic segmentation, and image captioning.
192 pages, 14 Line drawings, color; 117 Halftones, color; 131 Illustrations, color
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 28. februarja 2024 |
| ISBN13 | 9781032515816 |
| Založniki | Taylor & Francis Ltd |
| Strani | 158 |
| Dimenzije | 234 × 156 × 13 mm · 310 g |
| Jezik | Angleščina |
