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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Leonid Berlyand | - |
| dc.contributor.author | Pierre-Emmanuel Jabin. | - |
| dc.date.accessioned | 2024-06-25T07:29:23Z | - |
| dc.date.available | 2024-06-25T07:29:23Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10319 | - |
| dc.description.abstract | The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural networks (DNNs). Much of the interest in deep learning has focused on the implementation of DNN-based algorithms. Our hope is that this compact textbook will offer a complementary point of view that emphasizes the underlying mathematical ideas. | vi |
| dc.language.iso | en | vi |
| dc.subject | Mathematics of deep learning | Toán học chuyên sâu | vi |
| dc.title | Mathematics of deep learning : an introduction | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Toán học | |
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