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exam prep notes
Topics explained simply, and practice questions worked through in detail — flow diagrams, formulae, and examples included. Built for one exam at a time.
Generative AI
Mid-semester practice notes — generative vs discriminative models, VAEs, GANs and their variants, diffusion models, and Transformers — explained simply, with flow diagrams, formulae, and worked examples.
open notes →Research Methodology and IPR
Mid-term practice notes — research problems, data, literature review, plagiarism and ethics, and technical writing — one topic at a time, with the exam's own questions answered in full.
open notes →