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Mathematical Engineering of Deep Learning - Chapman & Hall / CRC Data Science Series Benoit Liquet
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Mathematical Engineering of Deep Learning - Chapman & Hall / CRC Data Science Series
Benoit Liquet
Provides a complete and concise overview of deep learning using the language of mathematics. Provides a self-contained background on machine learning and optimization algorithms, and progresses through the key ideas of deep learning.
406 pages, 4 Tables, black and white; 106 Line drawings, color; 106 Illustrations, color
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | October 3, 2024 |
| ISBN13 | 9781032288291 |
| Publishers | Taylor & Francis Ltd |
| Pages | 402 |
| Dimensions | 150 × 220 × 20 mm · 1.02 kg |
| Language | English |
