Overview
Explore the intersection of AI and creativity through Studio Ghibli's lens, discovering how machine learning interprets artistic styles and reshapes digital storytelling.
Syllabus
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- Introduction to AI in Art
-- Overview of Studio Ghibli and its influence on digital storytelling
-- Basics of machine learning and its application in the arts
- Machine Learning Fundamentals
-- Key concepts: supervised learning, unsupervised learning, neural networks
-- Tools and frameworks: TensorFlow, PyTorch
- Interpreting Artistic Styles with AI
-- Style transfer techniques
-- Case studies: AI-generated Ghibli-style images
- AI and Digital Storytelling
-- Narrative techniques in Ghibli films
-- Using AI to create and enhance storytelling
- Generative Models in Art
-- Understanding GANs (Generative Adversarial Networks)
-- Applications of GANs in creating art inspired by Ghibli
- Workshops and Hands-on Projects
-- Building a style transfer model for Ghibli art
-- Developing a simple AI-driven storytelling application
- Ethical Considerations in AI and Art
-- Discussing the implications of AI in creative fields
-- Debating the role of AI: collaborator or creator?
- The Future of AI in Artistic Expression
-- Emerging trends and technologies
-- Predicting the future of AI’s role in digital arts
- Final Project and Presentation
-- Create a unique project combining Ghibli's artistic style with AI tools
-- Present project outcomes and insights learned during the course
Taught by
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On-Demand
