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Computational Intelligence for Connective Cognition Networks: Advances and Applications - Advancing Science and Engineering through Artificial Intelligence, Machine Learning, and Mathematical Modeling
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Computational Intelligence for Connective Cognition Networks: Advances and Applications - Advancing Science and Engineering through Artificial Intelligence, Machine Learning, and Mathematical Modeling
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) |
