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Multi-faceted Deep Learning: Models and Data 2021 edition
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元 1.287
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远程仓调货
预计送达时间 年6月22日 - 年7月2日
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其他版本:
Multi-faceted Deep Learning: Models and Data
This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed.
316 pages, 10 Tables, color; 66 Illustrations, color; 20 Illustrations, black and white; XII, 316 p.
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2022年10月21日 |
| ISBN13 | 9783030744809 |
| 出版商 | Springer Nature Switzerland AG |
| 页数 | 316 |
| 商品尺寸 | 150 × 220 × 10 mm · 504 g |
| 语言 | 德语 |
| 编辑 | Benois-Pineau, Jenny |
| 编辑 | Zemmari, Akka |