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| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Philipp Grohs | - |
| dc.date.accessioned | 2024-06-25T04:23:09Z | - |
| dc.date.available | 2024-06-25T04:23:09Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10312 | - |
| dc.description.abstract | This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research | vi |
| dc.language.iso | en | vi |
| dc.publisher | Cambridge | vi |
| dc.subject | Deep learning (Machine learning) Mathematics | Học sâu (Học máy) Toán học | vi |
| dc.title | Mathematical aspects of deep learning | vi |
| dc.type | Sách/Book | vi |
| Bộ sưu tập | Toán học | |
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