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Practice Problems

Realistic AI engineering scenarios with reference solutions and problem-specific grading rubrics.

6 problems
ProblemCategoryDifficultyTimeBest
  • ReLU, Forward and Backward

    Backpropagation · Activations · NumPy · Gradients

    Deep Learning·Easy·15 minEasy15m–Solve
  • Adam, One Step at a Time

    Optimisers · Adam · Bias correction · Training dynamics

Deep Learning
·
Medium
·
25 min
Medium
25m
–
Solve
  • Batch Norm Behaves Differently at Inference

    Batch normalisation · Running statistics · Train/eval mode · NumPy

    Deep Learning·Medium·30 minMedium30m–Solve
  • Linear Layer Forward and Backward

    Backpropagation · Chain rule · Matrix calculus · Gradient checking

    Deep Learning·Medium·35 minMedium35m–Solve
  • Layer Norm, Backwards

    Backpropagation · Layer normalisation · Chain rule · NumPy

    Deep Learning·Hard·40 minHard40m–Solve
  • Scaled Dot-Product Attention

    Attention · Transformers · Masking · Numerical stability

    Deep Learning·Hard·40 minHard40m–Solve