(Weeks 3–4 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hour)
Students will:
- Build and train basic Generative Adversarial Networks (GANs).
- Implement Variational Autoencoders (VAEs) for data generation.
- Analyze training instability issues and apply stabilization techniques.
Prerequisite: GenAI 101 – Foundations of Generative AI
Tools: TensorFlow, PyTorch, Hugging Face
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