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Regularization in Deep Learning Liu Peng
Regularization in Deep Learning
Liu Peng
Regularization in Deep Learning delivers practical techniques to help you build more adaptable deep learning model. Along with exploring strategies for architecture, objective function, and optimisation, you will get just enough of the theory and mathematics behind regularisation to understand the new research emerging in this important area.
275 pages
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2023年10月2日 |
| ISBN13 | 9781633439610 |
| 出版商 | Manning Publications |
| 页数 | 275 |
| 商品尺寸 | 187 × 235 × 18 mm · 326 g |
| 语言 | 英语 |
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