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Beschreibung
An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential.
The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.
Theory and Applications of Deep Learning
Theory and Applications of Deep Learning
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 23. Juni 2022 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 569 Gramm |
| Format | Softcover |
| ISBN-13 | 9783030686260 |
| Auflage | 1st ed. 2021 |
| Seiten | 352 |