
Generative Adversarial Networks for Image-to-Image Translation
- 1st Edition - June 22, 2021
- Imprint: Academic Press
- Editors: Arun Solanki, Anand Nayyar, Mohd Naved
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 5 1 9 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 6 1 3 - 0
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 Ad… Read more
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Request a sales quote- Introduces the concept of Generative Adversarial Networks (GAN), including the basics of Generative Modelling, Deep Learning, Autoencoders, and advanced topics in GAN
- Demonstrates GANs for a wide variety of applications, including image generation, Big Data and data analytics, cloud computing, digital transformation, E-Commerce, and Artistic Neural Networks
- Includes a wide variety of biomedical and scientific applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing, and disease diagnosis
- Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable GANs for their applications
Biomedical Engineers and researchers in biomedical engineering, applied informatics, Artificial Intelligence, and data science. Students and researchers in data analytics, image processing, as well as computer scientists
- Edition: 1
- Published: June 22, 2021
- No. of pages (Paperback): 444
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128235195
- eBook ISBN: 9780128236130
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Arun Solanki
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Anand Nayyar
Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Faculty of Information Technology- Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 10 Australian patents and 1 Indian Design to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.
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Mohd Naved
Dr. Mohd Naved is an Associate Professor at Jaipuria Institute of Management in Noida, India, with over a decade of experience in Business Analytics, Data Science, and Artificial Intelligence. His research focuses on the applications of business analytics, data science, and artificial intelligence across various industries.