
AI Artistry
A Beginner's Guide to Generative AI
Chris Elliott(Autor*in)
eBookIt.com (Verlag)
Erschienen am 5. Juli 2024
100 Seiten
978-1-4566-5296-8 (ISBN)
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Beschreibung
Embark on a Journey to the Intersection of Art and Technology
Attention: Are you fascinated by the limitless possibilities of artificial intelligence and how it can revolutionize the world of art? This comprehensive guide is your ticket to explore the captivating realm of Generative AI and its profound applications in artistic creation.
Interest: Dive into the intricacies of Generative AI, from understanding foundational concepts like Machine Learning and Neural Networks to mastering advanced topics such as GANs, VAEs, and other generative models. Discover how these technologies can be harnessed to produce visually stunning art, melodic compositions, and even interactive gaming experiences. Each chapter takes you deeper into this mesmerizing world, laying a robust groundwork that evolves into complex, yet approachable, techniques and tools that every beginner can grasp.
Desire: Imagine creating your own unique pieces of AI-generated art, contributing to a burgeoning community of artists and technologists who are pushing the boundaries of creativity. Learn how to set up your workspace, collect and manage data ethically, and use powerful tools and libraries to bring your visions to life. The book doesn't just stop at the artistic process but also guides you through monetizing your creations, dealing with legal implications, and continually updating your work for sustained creativity.
Action: Whether you're an aspiring artist, a tech enthusiast, or someone who's curious about the future of creativity, this book is your essential guide. Packed with practical projects, step-by-step tutorials, and real-world case studies, it equips you with the knowledge and skills to embark on your own AI artistry journey. Embrace the fusion of art and technology-get your copy now and take the first step into a transformative world where human ingenuity meets machine precision.
Attention: Are you fascinated by the limitless possibilities of artificial intelligence and how it can revolutionize the world of art? This comprehensive guide is your ticket to explore the captivating realm of Generative AI and its profound applications in artistic creation.
Interest: Dive into the intricacies of Generative AI, from understanding foundational concepts like Machine Learning and Neural Networks to mastering advanced topics such as GANs, VAEs, and other generative models. Discover how these technologies can be harnessed to produce visually stunning art, melodic compositions, and even interactive gaming experiences. Each chapter takes you deeper into this mesmerizing world, laying a robust groundwork that evolves into complex, yet approachable, techniques and tools that every beginner can grasp.
Desire: Imagine creating your own unique pieces of AI-generated art, contributing to a burgeoning community of artists and technologists who are pushing the boundaries of creativity. Learn how to set up your workspace, collect and manage data ethically, and use powerful tools and libraries to bring your visions to life. The book doesn't just stop at the artistic process but also guides you through monetizing your creations, dealing with legal implications, and continually updating your work for sustained creativity.
Action: Whether you're an aspiring artist, a tech enthusiast, or someone who's curious about the future of creativity, this book is your essential guide. Packed with practical projects, step-by-step tutorials, and real-world case studies, it equips you with the knowledge and skills to embark on your own AI artistry journey. Embrace the fusion of art and technology-get your copy now and take the first step into a transformative world where human ingenuity meets machine precision.
Weitere Details
Sprache
Englisch
Verlagsort
La Vergne
USA
Editions-Typ
Digitale Ausgabe
Dateigröße
0,89 MB
ISBN-13
978-1-4566-5296-8 (9781456652968)
Schweitzer Klassifikation
Inhalt
- Intro
- Title Page
- Copyright
- Front Matter
- Table of Contents
- Introduction
- What is Generative AI?
- Defining Generative AI
- History and Evolution
- Basics of Machine Learning
- Understanding Machine Learning
- Key Concepts and Terminologies
- Neural Networks
- Introduction to Neural Networks
- Types of Neural Networks
- Introduction to GANs
- What are GANs?
- How GANs Work
- Introduction to VAEs
- What are VAEs?
- How VAEs Work
- Other Generative Models
- Autoregressive Models
- Flow-Based Models
- Tools and Software for Generative AI
- Popular Tools and Libraries
- Setting Up Your Workspace
- Data for AI Art
- Data Collection and Preparation
- Ethical Considerations
- Creating Visual Art with Generative AI
- Basics of AI Art
- Tools and Techniques
- Generating Music with AI
- Introduction to AI Music
- Tools and Techniques
- Text Generation and NLP
- Fundamentals of NLP
- AI in Creative Writing
- AI in Game Design
- Procedural Content Generation
- AI-Powered Game Elements
- Interactive and Immersive Art
- Virtual and Augmented Reality
- Interactive Installations
- Ethical and Societal Implications
- AI Ethics in Art
- Ownership and Originality
- Case Studies in AI Art
- Notable Projects and Artists
- Insights and Lessons Learned
- Understanding AI Art Criticism
- Art Evaluation Metrics
- Public Perception
- Connecting with the AI Art Community
- Online Forums and Groups
- Conferences and Events
- Practical Projects for Beginners
- Step-by-Step Guides
- Resources and Templates
- Maintaining and Updating Your Work
- Version Control
- Continuous Improvement
- Monetizing AI Art
- Licensing and Sales
- Crowdfunding and Sponsorship
- Future Trends in Generative AI
- Emerging Technologies
- Predicting Future Innovations
- Troubleshooting Common Issues
- Dealing with Errors
- Best Practices
- Customizing Models for Personalized Art
- Tuning Parameters
- Personalization Techniques
- Collaborations Between Humans and Machines
- Hybrid Art Forms
- Case Studies
- Legal Aspects of Generative AI
- Copyright and Fair Use
- Legal Case Studies
- Conclusion
- Appendix
- Glossary of Terms
- Additional Resources
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