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Convolutional Neural Networks in Visual Computing: A Concise Guide - Data-Enabled Engineering Venkatesan, Ragav (Arizona State University, Tempe, USA) 第1 版本
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
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2017年9月7日 |
| ISBN13 | 9781138747951 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 168 |
| 商品尺寸 | 233 × 158 × 17 mm · 298 g |
| 语言 | 英语 |
