Crafting Images With Generative Adversarial Networks Gans And Models
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Crafting Images With Generative Adversarial Networks Gans And Models
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Author : Dubey, Parul
language : en
Publisher: IGI Global
Release Date : 2025-03-13
Crafting Images With Generative Adversarial Networks Gans And Models written by Dubey, Parul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.
Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation. Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more.
Game Theory And Machine Learning For Cyber Security
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Author : Charles A. Kamhoua
language : en
Publisher: John Wiley & Sons
Release Date : 2021-09-08
Game Theory And Machine Learning For Cyber Security written by Charles A. Kamhoua and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-08 with Technology & Engineering categories.
GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.
Delirious Architecture
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Author : Sahil Tanveer
language : en
Publisher: Notion Press
Release Date : 2024-02-15
Delirious Architecture written by Sahil Tanveer and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-15 with Architecture categories.
In "Delirious Architecture: Midjourney for Architects - Hallucinations and Reality," Sahil Tanveer invites you on a thrilling expedition to the frontiers of architecture and artificial intelligence. What happens when the precision of AI collides with the fluidity of architectural creativity? This book unveils a world where traditional design boundaries dissolve, revealing a landscape brimming with unexplored possibilities. Venture into the heart of the Midjourney model, where ideas transform into controlled visual hallucinations. Can AI serve as more than a tool, becoming a co-creator in the architectural realm? Tanveer's narrative bridges the chasm between algorithmic complexity and the creative soul of architecture, offering a glimpse into a future where the architect's pen and AI's infinite canvas blend into an indistinguishable horizon. Are you ready to challenge your perceptions of the possible? "Delirious Architecture" is not just a journey through AI applications but a reflection of its transformative potential in our concrete reality. This book is your ticket to a new era of innovation and creativity in architectural design.
Foundations Of Deep Learning
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Author : Tapomoy Adhikari
language : en
Publisher: Tapomoy Adhikari
Release Date : 2023-09-04
Foundations Of Deep Learning written by Tapomoy Adhikari and has been published by Tapomoy Adhikari this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-04 with Education categories.
"Foundations of Deep Learning" offers an erudite exploration into the dynamic landscape of artificial intelligence (AI) and deep learning, authored by Tapomoy Adhikari, an autonomous researcher in the field of Computer Science and Engineering. This scholarly work provides a comprehensive resource suitable for individuals at various stages of expertise, ranging from neophytes to seasoned practitioners within the domain of neural networks. Commencing with an introductory exposition, the book elucidates fundamental principles integral to deep learning. Subsequently, it undertakes a rigorous examination of neural network architectures, elucidating their constituent elements, activation functions, and optimization methodologies. The discourse extends to encompass the intricate mechanisms of backpropagation, a cornerstone process in neural network training. Further chapters delve deeply into Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), elucidating their pivotal roles across diverse applications such as computer vision and natural language processing. Noteworthy concepts explored include Generative Adversarial Networks (GANs), Attention Mechanisms, and Transfer Learning, furnishing readers with a comprehensive toolkit to address real-world challenges. In light of burgeoning ethical concerns within the AI landscape, the book offers nuanced insights into ethical considerations pertinent to deep learning. Emphasis is placed on responsible AI model development and its societal implications. The discourse extends to encompass the domain of Natural Language Processing (NLP) integrated with deep learning, elucidating concepts such as word embeddings and sequence-to-sequence models, alongside the transformative potential of attention mechanisms. Deep Reinforcement Learning, a pivotal paradigm underpinning gaming AI and autonomous systems, undergoes meticulous scrutiny, equipping readers with the requisite knowledge to navigate this burgeoning field. As the narrative culminates, readers are prompted to contemplate the future trajectory of deep learning, exploring themes such as neuro-symbolic integration, the potential impact of quantum computing, and the ethical imperatives guiding AI development. "Foundations of Deep Learning" transcends mere instructional discourse, serving as a scholarly compendium elucidating the inner workings of AI architectures shaping contemporary society. Augmented with code snippets, diagrams, and illustrative case studies, this academic endeavor facilitates a practical and accessible understanding of complex concepts. Irrespective of readers' academic or professional affiliations, be it as students, researchers, or engineers, this scholarly treatise equips them with the requisite knowledge and methodologies to navigate the ever-evolving landscape of neural networks.
Advancements In Smart Computing And Information Security
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Author : Sridaran Rajagopal
language : en
Publisher: Springer Nature
Release Date : 2024-05-01
Advancements In Smart Computing And Information Security written by Sridaran Rajagopal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Computers categories.
This 4-volume CCIS post-conference set represents the proceedings of the Second International Conference on Advances in Smart Computing and Information Security, ASCIS 2023, in Rajkot, Gujarat, India, December 2023. The 91 full papers and 36 short papers in the volume were carefully checked and selected from 432 submissions. Various application areas were presented at the conference, including healthcare, agriculture, automotive, construction and engineering, pharmaceuticals, cybercrime and sports.
Dive Into Dall E A Step By Step Tutorial For Crafting Unique And Engaging Visual Content
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Author : Guido Van
language : en
Publisher: Daniel O Brien
Release Date : 2024-03-16
Dive Into Dall E A Step By Step Tutorial For Crafting Unique And Engaging Visual Content written by Guido Van and has been published by Daniel O Brien this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-16 with Computers categories.
Step Into DALL E is your step-by-step tutorial for crafting unique and engaging visual content with DALL E. This book takes you on a journey through the world of DALL E, providing practical guidance and creative inspiration to help you create stunning visuals that captivate and inspire. Whether you're a beginner or seasoned professional, Dive Into DALL E offers hands-on tutorials, creative exercises, and expert tips to help you master the art of image synthesis. From basic techniques to advanced strategies, this tutorial empowers you to dive deep into DALL E and unlock its full potential for creative expression and design.
Making Art With Generative Ai Tools
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Author : Hai-Jew, Shalin
language : en
Publisher: IGI Global
Release Date : 2024-04-01
Making Art With Generative Ai Tools written by Hai-Jew, Shalin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Art categories.
In the dynamic realm of generative artificial Intelligence (AI), the fusion of human creativity and machine intelligence has created a vibrant ecosystem of collaborative artmaking. However, this transformative process brings forth a myriad of concerns, ranging from ethical considerations and the need for originality to navigating the legal complexities surrounding intellectual property. As more and more online communities appear around the use of AI to aid in the creation of images, there arises a pressing need for a comprehensive guide that not only dissects the intricacies of artmaking with generative AI tools but also offers practical solutions to the evolving dilemmas faced by artists, researchers, and technologists. Making Art With Generative AI Tools emerges as an exploration of the challenges posed by this intersection of human expression and artificial intelligence. Artists engaging with generative AI find themselves grappling with issues of authenticity, social toxicity, and the commercial viability of their creations. From avoiding stereotypical visuals to ensuring proper crediting, the realm of generative AI is rife with these complexities. Furthermore, the blurred lines between human and machine authorship necessitate a deeper exploration of how these innovative tools impact creativity, representation, and the very fabric of the art world.
The Pioneering Applications Of Generative Ai
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Author : Kumar, Raghvendra
language : en
Publisher: IGI Global
Release Date : 2024-07-17
The Pioneering Applications Of Generative Ai written by Kumar, Raghvendra and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
Integrating generative artificial intelligence (AI) into art, design, and media presents a double-edged sword. While it offers unprecedented creative possibilities, it raises ethical concerns, challenges traditional workflows, and requires careful regulation. As AI becomes more prevalent in these fields, there is a pressing need for a comprehensive resource that explores the technology's potential and navigates the complex landscape of its implications. The Pioneering Applications of Generative AI is a pioneering book that addresses these challenges head-on. It provides a deep dive into the evolution, ethical considerations, core technologies, and creative applications of generative AI, offering readers a thorough understanding of this transformative technology. Researchers, academicians, scientists, and research scholars will find this book invaluable in navigating the complexities of generative AI in art, design, and media. With its focus on ethical and responsible AI and discussions on regulatory frameworks, the book equips readers with the knowledge and tools needed to harness the full potential of generative AI while ensuring its responsible and ethical use.
Thinking Machines The Path To Artificial Intelligence Mastery
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Author : SREEKUMAR V T
language : en
Publisher: SREEKUMAR V T
Release Date : 2025-02-25
Thinking Machines The Path To Artificial Intelligence Mastery written by SREEKUMAR V T and has been published by SREEKUMAR V T this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Antiques & Collectibles categories.
Embark on a riveting journey into the heart of artificial intelligence with "Thinking Machines: The Path to Artificial Intelligence Mastery." This ground-breaking book serves as a compass for both novices and seasoned professionals navigating the multifaceted landscape of AI. As the era of thinking machines unfolds, this comprehensive guide provides a roadmap for understanding, mastering, and ethically harnessing the transformative power of artificial intelligence. Delve into the core principles of AI as the authors meticulously unravel the intricacies of machine learning, deep learning, and cognitive computing. The narrative seamlessly combines technical depth with accessible language, making it an indispensable resource for readers at all levels of expertise. From foundational concepts to cutting-edge advancements, each chapter is a stepping stone towards true AI mastery. Uncover the secrets behind the evolution of AI, exploring its historical milestones, from early automation to the emergence of thinking machines. The narrative unfolds through vivid storytelling, offering insights into the minds of AI pioneers and the pivotal moments that shaped the field. It's not just a book; it's a chronicle of the relentless pursuit of artificial intelligence mastery. The book's exploration extends beyond algorithms and code, delving into the ethical dimensions of AI. It grapples with questions of bias, transparency, and responsible deployment, guiding readers towards a holistic understanding of AI's impact on society. As thinking machines become integral to our daily lives, this book acts as a beacon, emphasizing the importance of human-centric design, collaboration, and ethical governance. "Thinking Machines" is not just a manual; it's an invitation to participate in the ongoing AI revolution. Engage with practical applications, emerging trends, and the societal implications of AI. The authors illuminate the path forward, where education, adaptability, and a commitment to continuous learning are key components of AI mastery. Whether you're a curious enthusiast, a budding AI practitioner, or an industry expert, this book is your companion on the journey to mastering artificial intelligence. It invites you to envision a future where thinking machines contribute to a more enlightened, innovative, and interconnected world. "Thinking Machines" is not just a guide; it's an odyssey into the future of AI mastery, inviting readers to shape the narrative of thinking machines and their impact on humanity.
Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images
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Author : Yakoub Bazi
language : en
Publisher: MDPI
Release Date : 2021-06-15
Advanced Deep Learning Strategies For The Analysis Of Remote Sensing Images written by Yakoub Bazi and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Science categories.
The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.