2 options
Art in the age of machine learning / Sofian Audry,
- Format:
- Book
- Author/Creator:
- Audry, Sofian, author.
- Series:
- Leonardo (Series) (Cambridge, Mass.)
- Leonardo
- Language:
- English
- Subjects (All):
- Computer art.
- Art and computers.
- Machine learning.
- Physical Description:
- 1 online resource
- Place of Publication:
- Cambridge, Massachusetts : The MIT Press, 2021.
- Summary:
- "This book examines artistic practices that use machine learning and computational technologies through historical perspectives surrounding adaptive systems from the 1950s onwards"-- Provided by publisher.
- Contents:
- Intro
- Contents
- List of Figures
- Series Foreword
- Foreword
- Acknowledgments
- 1. Introduction
- Myths and Misconceptions
- Understanding Machine Learning Art
- Why Machines Should Learn
- Supervised, Unsupervised, and Reinforcement Learning
- Components of a Machine Learning System
- From Cybernetics to Deep Learning
- A Shift in Paradigm
- Chapter Breakdown
- I. TRAINING
- 2. Optimizing Art
- Art, Purpose, Teleology
- The Best Art
- Computational Creativity
- The Imitation Game
- Learning in Real Time
- Conclusion
- 3. Curbing the Training Curve
- Emergence versus Authorship
- Subjective Functions
- Interactive Genetic Algorithms
- Artificial Curiosity
- Chasing Agents
- Shake, Rattle, and Roll
- 4. Aesthetics of Adaptive Behaviors
- Aesthetics of Behavior
- Degrees of Behavior
- Behavior Morphologies
- Adaptive Couplings
- II. MODELS
- 5. Beyond Human Understanding
- The Body Electric
- Black Boxing
- Getting to Know
- The Best Audience
- Baking Models
- A Menagerie of Models
- 6. Evolutionary Learning
- Parametric Systems
- Nonparametric Systems
- Genetic Programming
- Ecosystems
- 7. Shallow Learning
- Neural Networks
- Early Connectionism
- Connectionist Renaissance
- Music and Connectionism
- Connectionism Meets Artificial Life
- Connectionist Visions
- Emergent Representations
- Context Machines
- 8. Deep Learning
- From Connectionism to Deep Learning
- Corporate Dreams
- Neural Aesthetics
- GAN Art
- Latent Space
- Re-articulating the Latent Space
- Neural Glitches
- Recurrent Writing
- III. DATA
- 9. Data as Code
- Programming by Example
- Interactive Machine Learning
- Knowing and Listening
- Sympoietic Drawing
- Bring Your Own Data
- Viral Collections.
- Crowdsourcing the Everyday
- Found Data
- Not the Only One
- 10. Deep Remixes
- Remix Culture
- Open-Source Cultures
- Machine Learning Remixes
- Exploring Pretrained Models
- Alternative Faces
- Remixing the Generative
- An AI Opera
- 11. Watching and Dreaming
- Inductive Biases
- Technocultural Jamming
- Beyond Human Writing
- Learning and Generating
- Invisible Images
- Exploring the Collective Imaginary
- 12. Conclusion
- Zooming Out
- Plugging the Gap
- Beyond Metacreation
- Human-Machine Relationships
- Taming the Unknowable
- Paradigm Shift in the Art World
- Final Thoughts
- Glossary
- Notes
- Bibliography
- Name Index
- Subject Index.
- Notes:
- Includes bibliographical references and index.
- OCLC-licensed vendor bibliographic record.
- Other Format:
- Print version: Audry, Sofian. Art in the age of machine learning.
- ISBN:
- 9780262367103
- 0262367106
- 9780262367097
- 0262367092
- OCLC:
- 1255633048
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