Pastāsti draugiem par šo preci:
Computational Intelligence for Connective Cognition Networks: Advances and Applications - Advancing Science and Engineering through Artificial Intelligence, Machine Learning, and Mathematical Modeling Alessandro Bruno-Zahid Akhtar-Kirti Aggarwal-Anuja
Computational Intelligence for Connective Cognition Networks: Advances and Applications - Advancing Science and Engineering through Artificial Intelligence, Machine Learning, and Mathematical Modeling
Alessandro Bruno-Zahid Akhtar-Kirti Aggarwal-Anuja
This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2025. gada 24. novembris |
| ISBN13 | 9781032942346 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 214 |
| Izmēri | 242 × 164 × 19 mm · 496 g |
| Valoda | Angļu |
| Redaktors | Aggarwal, Kirti (Jaypee Institute of Information Technology, Noida, India) |
| Redaktors | Akhtar, Zahid (State University of New York Polytechnic Institute, USA) |
| Redaktors | Arora, Anuja (Jaypee Institute of Information Technology, Noida, India) |
| Redaktors | Bruno, Alessandro (IULM University, Italy) |