Generative AI with PyTorch (Paperback)
Aniket Jain
ISBN 13: 9798308981022
Published by Independently Published, 2025
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Paperback. Unlock the Power of Generative AI with PyTorch: From Theory to PracticeDive into the fascinating world of Generative AI and learn how to build cutting-edge models using PyTorch, one of the most popular deep-learning frameworks. Whether you're a beginner or an experienced developer, this book provides a comprehensive guide to understanding and implementing generative AI techniques, from foundational concepts to advanced applications.What You'll Learn: Foundations of PyTorch: Master tensors, computational graphs, and neural networks to build a strong programming foundation.Core Generative AI Techniques: Explore key methods like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, and Transformers.Hands-On Projects: Implement real-world applications such as image generation, text synthesis, style transfer, and more using PyTorch.Advanced Optimization: Learn to fine-tune models, reduce training time, and leverage mixed precision for faster results.Practical Case Studies: Apply generative AI to solve real-world problems, including image manipulation, audio synthesis, and chatbot development.Why This Book?Step-by-Step Guidance: Each chapter includes clear explanations, code examples, and practical exercises to reinforce your learning.Comprehensive Coverage: From setting up your environment to mastering advanced techniques, this book covers everything you need to know.Real-World Applications: Discover how generative AI is transforming industries like art, entertainment, healthcare, and more.PyTorch-Centric Approach: Leverage the flexibility and power of PyTorch to build and deploy state-of-the-art generative models.Who Is This Book For?Aspiring AI Developers: Beginners looking to break into the field of generative AI.Data Scientists and ML Engineers: Professionals seeking to expand their skills in generative modeling.Researchers and Students: Academics exploring the latest advancements in AI and deep learning.Tech Enthusiasts: Anyone curious about how AI can create art, music, text, and more.Table of Contents Highlights: Introduction to Generative AI and PyTorchSetting Up Your EnvironmentFoundations of PyTorchUnderstanding Generative AI ConceptsBuilding Variational Autoencoders (VAEs)Generative Adversarial Networks (GANs)Diffusion ModelsTransformers in Generative AIAdvanced Techniques and OptimizationPractical Applications and Case StudiesBonus Resources: Quick Reference for PyTorchMath Essentials for Generative AITroubleshooting GuideRecommended Learning ResourcesWhether you're building your first neural network or exploring the latest in generative AI, this book is your ultimate guide to mastering the art and science of creating intelligent systems with PyTorch.Start your journey today and unleash the creative potential of Generative AI! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798308981022
Bibliographic Details
Title: Generative AI with PyTorch (Paperback)
Publisher: Independently Published
Publication Date: 2025
Binding: Paperback
Condition: new
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Mastering Generative AI with PyTorch (Paperback)
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
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Paperback. Condition: new. Paperback. **Mastering Generative AI with PyTorch: From Fundamentals to Advanced Models** Unlock the potential of generative artificial intelligence with "Mastering Generative AI with PyTorch." This comprehensive guide takes you on a journey from the foundational concepts of generative AI to the implementation of advanced models, providing a clear and practical roadmap for mastering this cutting-edge technology. The book begins with an introduction to the core principles of generative AI, explaining its significance and applications in various fields such as art, entertainment, and scientific research. You will explore different types of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Autoregressive Models, gaining a deep understanding of their architectures and mechanisms. With a focus on hands-on learning, the book introduces you to PyTorch, one of the most popular and powerful deep learning frameworks. Step-by-step instructions guide you through the installation of PyTorch and fundamental operations, setting a strong foundation for building complex models. Each chapter is designed to build on the previous one, gradually increasing in complexity and depth. In the GANs section, you will learn about their architecture, training process, and advanced variations like Conditional GANs and CycleGANs. The book provides detailed code examples and explanations, enabling you to implement and train your own GANs for diverse applications. The VAE section delves into the mathematical foundations and training techniques of VAEs, including practical examples of implementing both standard and conditional VAEs with PyTorch. You'll gain insights into how VAEs can generate high-quality, realistic data and their use in creative and scientific tasks. Autoregressive models, including PixelCNN and PixelRNN, are thoroughly covered, with explanations of their applications in sequential data generation. The book also explores the integration of attention mechanisms and transformers to enhance model performance. By the end of this book, you will have a solid understanding of generative AI and be equipped with the skills to implement and experiment with various generative models using PyTorch. Whether you are a beginner or an experienced practitioner, "Mastering Generative AI with PyTorch" provides the knowledge and tools needed to excel in the exciting field of generative AI. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798327167698
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Mastering Generative AI with PyTorch (Paperback)
Seller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. Paperback. **Mastering Generative AI with PyTorch: From Fundamentals to Advanced Models** Unlock the potential of generative artificial intelligence with "Mastering Generative AI with PyTorch." This comprehensive guide takes you on a journey from the foundational concepts of generative AI to the implementation of advanced models, providing a clear and practical roadmap for mastering this cutting-edge technology. The book begins with an introduction to the core principles of generative AI, explaining its significance and applications in various fields such as art, entertainment, and scientific research. You will explore different types of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Autoregressive Models, gaining a deep understanding of their architectures and mechanisms. With a focus on hands-on learning, the book introduces you to PyTorch, one of the most popular and powerful deep learning frameworks. Step-by-step instructions guide you through the installation of PyTorch and fundamental operations, setting a strong foundation for building complex models. Each chapter is designed to build on the previous one, gradually increasing in complexity and depth. In the GANs section, you will learn about their architecture, training process, and advanced variations like Conditional GANs and CycleGANs. The book provides detailed code examples and explanations, enabling you to implement and train your own GANs for diverse applications. The VAE section delves into the mathematical foundations and training techniques of VAEs, including practical examples of implementing both standard and conditional VAEs with PyTorch. You'll gain insights into how VAEs can generate high-quality, realistic data and their use in creative and scientific tasks. Autoregressive models, including PixelCNN and PixelRNN, are thoroughly covered, with explanations of their applications in sequential data generation. The book also explores the integration of attention mechanisms and transformers to enhance model performance. By the end of this book, you will have a solid understanding of generative AI and be equipped with the skills to implement and experiment with various generative models using PyTorch. Whether you are a beginner or an experienced practitioner, "Mastering Generative AI with PyTorch" provides the knowledge and tools needed to excel in the exciting field of generative AI. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798327167698
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Learn Generative AI with PyTorch Format: Paperback
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Learn Generative AI with PyTorch Format: Paperback
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Generative AI with Python and PyTorch - Second Edition: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications (Paperback or Softback)
Published by
Packt Publishing 3/28/2025, 2025
ISBN 10: 183588444X
ISBN 13: 9781835884447
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Paperback or Softback. Condition: New. Generative AI with Python and PyTorch - Second Edition: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications 1.69. Book. Seller Inventory # BBS-9781835884447
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Learn Generative AI with Pytorch (Paperback or Softback)
Published by
Manning Publications 11/26/2024, 2024
ISBN 10: 1633436462
ISBN 13: 9781633436466
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Paperback or Softback. Condition: New. Learn Generative AI with Pytorch 1.7. Book. Seller Inventory # BBS-9781633436466
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Modern Computer Vision with PyTorch - Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI (Paperback or Softback)
Published by
Packt Publishing 6/10/2024, 2024
ISBN 10: 1803231335
ISBN 13: 9781803231334
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Paperback or Softback. Condition: New. Modern Computer Vision with PyTorch - Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI 2.77. Book. Seller Inventory # BBS-9781803231334
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