Nouveauté
| Titre : | Introduction to Deep Learning |
| Auteurs : | Ortega Ruiz Mauricio Alberto, Auteur |
| Type de document : | texte imprimé |
| Editeur : | Toronto Academic Press, 2025 |
| ISBN/ISSN/EAN : | 978-1-77956-299-9 |
| Format : | 214 p. / ill. / 25 cm |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 004 (informatique en général) |
| Catégories : | |
| Mots-clés: | Deep learning ; Neural networks ; Convolutional networks ; Recurrent networks ; Deep reinforcement learning ; AI applications ; Machine learning ; Model training ; Practical examples. |
| Résumé : |
This book is designed to provide a comprehensive introduction to the field of deep learning, covering its foundational principles, techniques, and applications. It covers topics such as neural networks, convolutional networks, recurrent networks, and deep reinforcement learning. The content emphasizes both the theoretical concepts and practical implementations of deep learning models, providing insights into how these models are trained and applied to solve complex problems. Practical examples and hands-on exercises are included to help readers develop a solid understanding of deep learning techniques and their applications in various fields.
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Exemplaires (2)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| 25/232 | 004/2280/1 | Livre | BU Centrale Batna 1 | Deuxième étage : Architecture, sciences et technologies | Disponible |
| 25/233 | 004/2280/2 | Livre | BU Centrale Batna 1 | Deuxième étage : Architecture, sciences et technologies | Disponible |
