Generative Adversarial Networks in Practice
Autor Mehdi Ghayoumien Limba Engleză Paperback – 28 noi 2025
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Specificații
ISBN-13: 9781032250588
ISBN-10: 1032250585
Pagini: 642
Dimensiuni: 178 x 254 mm
Greutate: 1.15 kg
Editura: Taylor & Francis Ltd.
ISBN-10: 1032250585
Pagini: 642
Dimensiuni: 178 x 254 mm
Greutate: 1.15 kg
Editura: Taylor & Francis Ltd.
Cuprins
1. Introduction
2. Data Preprocessing
3. Model Evaluation
4. TensorFlow and Keras Fundamentals
5. Artificial Neural Networks Fundamentals and Architectures
6. Deep Neural Networks (DNNs) Fundamentals and Architectures
7. Generative Adversarial Networks (GANs) Fundamentals and Architectures
8. Deep Convolutional Generative Adversarial Networks (DCGANs)
9. Conditional Generative Adversarial Network (cGAN)
10. Cycle Generative Adversarial Network (CycleGAN)
11. Semi-Supervised Generative Adversarial Network (SGAN)
12. Least Squares Generative Adversarial Network (LSGAN)
13. Wasserstein Generative Adversarial Network (WGAN)
14. Generative Adversarial Networks (GANs) for Images
15. Generative Adversarial Networks (GANs) for Voice, Music, and Song
Appendix
2. Data Preprocessing
3. Model Evaluation
4. TensorFlow and Keras Fundamentals
5. Artificial Neural Networks Fundamentals and Architectures
6. Deep Neural Networks (DNNs) Fundamentals and Architectures
7. Generative Adversarial Networks (GANs) Fundamentals and Architectures
8. Deep Convolutional Generative Adversarial Networks (DCGANs)
9. Conditional Generative Adversarial Network (cGAN)
10. Cycle Generative Adversarial Network (CycleGAN)
11. Semi-Supervised Generative Adversarial Network (SGAN)
12. Least Squares Generative Adversarial Network (LSGAN)
13. Wasserstein Generative Adversarial Network (WGAN)
14. Generative Adversarial Networks (GANs) for Images
15. Generative Adversarial Networks (GANs) for Voice, Music, and Song
Appendix
Notă biografică
Dr. Mehdi Ghayoumi is an Assistant Professor at the State University of New York (SUNY) at Canton. With a strong focus on cutting-edge technologies, he has dedicated his expertise to areas including Machine Learning, Machine Vision, Robotics, Human-Robot Interaction (HRI), and privacy. Dr. Ghayoumi’s research revolves around constructing sophisticated systems tailored to address the complexities and challenges within these fields, driving innovation and advancing the forefront of knowledge in his respective areas of expertise.