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Generative Adversarial Networks and Deep Learning: Theory and Applications Pranav D Pathak-Sonali Patil-Sachin R Sakhare-Rosh
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Pranav D Pathak-Sonali Patil-Sachin R Sakhare-Rosh
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and methods for processing text, images, and audio.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 19. decembris |
| ISBN13 | 9781032068114 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 208 |
| Izmēri | 253 × 178 × 15 mm · 424 g |
| Valoda | Angļu |
| Redaktors | D Pathak, Pranav (MIT Art Design and Technology University, Pune, India) |
| Redaktors | Patil, Sonali (PCCoE, SPPU, Pune) |
| Redaktors | R Sakhare, Sachin (VIIT, Pune) |
| Redaktors | Raut, Roshani (Pimpri Chinchwad College of Engineering, Pune, India) |
