(Weeks 11–12 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:
- Construct neural networks for deep learning tasks
- Train CNN models for image classification
- Understand principles of generative AI (GANs, VAEs)
- Apply transfer learning techniques using pre-trained models
Prerequisite: DSEng 105 – Machine Learning Foundations
Tools: TensorFlow, Keras
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