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Mathematical Foundations of Deep Learning Theory and Algorithms Explained
Master Deep learning mathematical foundations covering linear algebra, optimization, calculus, probability, and machine learning algorithms.
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Master Deep learning mathematical foundations covering linear algebra, optimization, calculus, probability, and machine learning algorithms.
Mathematical Foundations of Deep Learning Theory and Algorithms Explained
Master Deep learning mathematical foundations covering linear algebra, optimization, calculus, probability, and machine learning algorithms.
| Authors | Xiaojing Ye |
|---|---|
| Publisher | Springer Nature |
| Published On | 0101-01-01 |
| Language | English |
| File Format | |
| File Size | 6.85 MB |
| Rating | ⭐️⭐️⭐️⭐️⭐️ 4.59 |
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