Geometry of Deep Learning by Jong Chul Ye
Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined.
“This book is based on material that has been prepared for senior-level undergraduate classes, this book can be used for one-semester senior-level undergraduate and graduate-level classes” (Arzu Ahmadova, zbMATH 1493.68003, 2022)
The author is currently a full Professor at Korea Advanced Institute of Science and Technology (KAIST). Also he has been a Fellow of IEEE since January 2020.
| SKU | Unavailable |
| ISBN 13 | 9789811660481 |
| ISBN 10 | 9811660484 |
| Title | Geometry of Deep Learning |
| Author | Jong Chul Ye |
| Series | Mathematics In Industry |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2023-01-07 |
| Number of pages | 330 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |