Generative Adversarial Networks in Practice

2023-12-20 Computers

Author : Mehdi Ghayoumi
Release : 2023-12-20
Genre : Computers
Kind : eBook
Book Rating : 531/5 ( reviews)

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Book Synopsis Generative Adversarial Networks in Practice by : Mehdi Ghayoumi

Download or read book Generative Adversarial Networks in Practice written by Mehdi Ghayoumi. This book was released on 2023-12-20. Available in PDF, EPUB and Kindle. Book excerpt: This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. Key Features: • Guides you through the complex world of GANs, demystifying their intricacies • Accompanies your learning journey with real-world examples and practical applications • Navigates the theory behind GANs, presenting it in an accessible and comprehensive way • Simplifies the implementation of GANs using popular deep learning platforms • Introduces various GAN architectures, giving readers a broad view of their applications • Nurture your knowledge of AI with our comprehensive yet accessible content • Practice your skills with numerous case studies and coding examples • Reviews advanced GANs, such as DCGAN, cGAN, and CycleGAN, with clear explanations and practical examples • Adapts to both beginners and experienced practitioners, with content organized to cater to varying levels of familiarity with GANs • Connects the dots between GAN theory and practice, providing a well-rounded understanding of the subject • Takes you through GAN applications across different data types, highlighting their versatility • Inspires the reader to explore beyond this book, fostering an environment conducive to independent learning and research • Closes the gap between complex GAN methodologies and their practical implementation, allowing readers to directly apply their knowledge • Empowers you with the skills and knowledge needed to confidently use GANs in your projects Prepare to deep dive into the captivating realm of GANs and experience the power of AI like never before with Generative Adversarial Networks (GANs) in Practice. This book brings together the theory and practical aspects of GANs in a cohesive and accessible manner, making it an essential resource for both beginners and experienced practitioners.

Generative Adversarial Networks in Practice

2023-12-20 Computers

Author : Mehdi Ghayoumi
Release : 2023-12-20
Genre : Computers
Kind : eBook
Book Rating : 493/5 ( reviews)

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Book Synopsis Generative Adversarial Networks in Practice by : Mehdi Ghayoumi

Download or read book Generative Adversarial Networks in Practice written by Mehdi Ghayoumi. This book was released on 2023-12-20. Available in PDF, EPUB and Kindle. Book excerpt: This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. Key Features: Guides you through the complex world of GANs, demystifying their intricacies Accompanies your learning journey with real-world examples and practical applications Navigates the theory behind GANs, presenting it in an accessible and comprehensive way Simplifies the implementation of GANs using popular deep learning platforms Introduces various GAN architectures, giving readers a broad view of their applications Nurture your knowledge of AI with our comprehensive yet accessible content Practice your skills with numerous case studies and coding examples Reviews advanced GANs, such as DCGAN, cGAN, and CycleGAN, with clear explanations and practical examples Adapts to both beginners and experienced practitioners, with content organized to cater to varying levels of familiarity with GANs Connects the dots between GAN theory and practice, providing a well-rounded understanding of the subject Takes you through GAN applications across different data types, highlighting their versatility Inspires the reader to explore beyond this book, fostering an environment conducive to independent learning and research Closes the gap between complex GAN methodologies and their practical implementation, allowing readers to directly apply their knowledge Empowers you with the skills and knowledge needed to confidently use GANs in your projects Prepare to deep dive into the captivating realm of GANs and experience the power of AI like never before with Generative Adversarial Networks (GANs) in Practice. This book brings together the theory and practical aspects of GANs in a cohesive and accessible manner, making it an essential resource for both beginners and experienced practitioners.

GANs in Action

2019-09-09 Computers

Author : Vladimir Bok
Release : 2019-09-09
Genre : Computers
Kind : eBook
Book Rating : 235/5 ( reviews)

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Book Synopsis GANs in Action by : Vladimir Bok

Download or read book GANs in Action written by Vladimir Bok. This book was released on 2019-09-09. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Generative Adversarial Networks (GANs)

2024-04-12 Computers

Author : Russ Elektran
Release : 2024-04-12
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Generative Adversarial Networks (GANs) by : Russ Elektran

Download or read book Generative Adversarial Networks (GANs) written by Russ Elektran. This book was released on 2024-04-12. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the power of Generative Adversarial Networks (GANs) with this comprehensive guidebook, designed to take you from a basic understanding to mastering the art and science behind these transformative neural networks. Whether you're a student, researcher, or professional in computer science and artificial intelligence, this book offers an accessible yet thorough exploration of GANs, covering foundational concepts, mathematical principles, diverse architectures, and ground-breaking applications. "Generative Adversarial Networks (GANs)" demystifies complex ideas through a structured presentation, starting with an introduction to GANs, diving into their mathematical underpinnings, and unfolding their architectural intricacies. Learn the best practices for training GANs, navigating common challenges, and evaluating performance to ensure high-quality outcomes. The book not only explains the various types of GANs and their specific uses but also showcases their incredible potential across different sectors-from creating realistic images to advancing drug discovery and beyond. With a step-by-step guide to building your own GAN model, this book empowers you to put theory into practice. It addresses common pitfalls, offers solutions to typical challenges, and provides insights into advanced topics for those looking to push the limits of what GANs can achieve. Whether you're aiming to understand the basic mechanisms of GANs or explore the frontiers of artificial intelligence research, this book is your go-to resource for all things GANs. Embark on this learning journey to leverage the full capabilities of Generative Adversarial Networks and unlock new possibilities in AI and machine learning.

Generative Deep Learning

2019-06-28 Computers

Author : David Foster
Release : 2019-06-28
Genre : Computers
Kind : eBook
Book Rating : 890/5 ( reviews)

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Book Synopsis Generative Deep Learning by : David Foster

Download or read book Generative Deep Learning written by David Foster. This book was released on 2019-06-28. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

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