Product Description
Generative Adversarial Networks for Image-to-Image Translation
Examines the concepts and technical methods of data deduplication for a wide variety of applications
Arun Solanki (Edited by), Anand Nayyar (Edited by), Mohd Naved (Edited by)
9780128235195
Paperback / softback, published 23 June 2021
444 pages
23.5 x 19 x 2.8 cm, 0.45 kg
Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective ]
Generative Adversarial Networks for Image-to-Image Translation Solanki Nayyar
Generative Adversarial Networks for Image-to-Image Translation
Examines the concepts and technical methods of data deduplication for a wide variety of applications
Arun Solanki (Edited by), Anand Nayyar (Edited by), Mohd Naved (Edited by)
9780128235195
Paperback / softback, published 23 June 2021
444 pages
23.5 x 19 x 2.8 cm, 0.45 kg
Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective ]
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