15. Hands-on Activity: GAN Paint
Exploration of GAN Paint reveals the capabilities of Generative Adversarial Networks to create and modify images realistically. Through a hands-on approach, students engage with AI, experimenting with image editing and understanding the dynamics between a Generator and a Discriminator. This chapter emphasizes AI's significant role in both creativity and data manipulation.
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Sections
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What we have learnt
- GANs consist of two main components: the Generator and the Discriminator.
- GAN Paint is an interactive tool that allows for real-time image modifications using AI.
- The activity showcases AI's capability to understand artistic intent and generate realistic images.
Key Concepts
- -- Generative Adversarial Networks (GAN)
- A deep learning model consisting of a Generator that creates images and a Discriminator that evaluates them.
- -- GAN Paint
- A web-based tool that enables users to modify images by drawing, which AI then processes to generate realistic alterations.
- -- Generative AI
- A type of artificial intelligence that creates new content rather than just analyzing existing data.
Additional Learning Materials
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