Deep Learning · MT2 · section

Answer lengths and partial credit habits

Formula reference and exam revision

For 2 marks, give a precise definition plus the key distinction/example. For 5 marks, give the definition, a labeled diagram or formula, working/principle and a relevant implication. For 10 marks, answer every subpart: architecture or setup, main equations, stepwise explanation, required numerical working, and limitations or justification where asked. Do not pad a numerical with unrelated theory.

Always label assumptions when inputs, loss, threshold or matrix orientation are missing. Box the requested final result, include shapes or units, and retain working. An unsupported final number makes it harder to award method credit. Never say an optimizer guarantees global convergence or an architecture always outperforms another unless a specific theorem and its conditions actually apply.