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DEEP LEARNING & PERCEPTION / SPECIALIST

DL310Advanced neural architectures & efficient training

24 h productive allocation9 h 36 m learning + 14 h 24 m training4 units · 1 assessed practical brief

Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.

BEFORE YOU BEGIN

A clear starting point.

Prerequisites: DL301

Specialist studio; environment and faculty must be confirmed before scheduling

WHAT YOU SHOULD BE ABLE TO DEMONSTRATE

  1. Explain the assumptions and failure modes in architecture design.
  2. Complete the practical: profile a small network and improve one resource metric without hiding quality regressions.
  3. Defend the resulting profiler record with reproducible evidence.

THE SUBJECTS / FOUR CONNECTED UNITS

What you will study.

UNIT 016 h allocated

Architecture design

  • Residual connections
  • normalisation
  • attention
  • inductive biases
UNIT 026 h allocated

Training behaviour

  • Initialisation
  • schedules
  • clipping
  • regularisation
UNIT 036 h allocated

Efficiency

  • Mixed precision
  • accumulation
  • profiling
  • memory budgets
UNIT 046 h allocated

Ablation studies

  • Controlled comparisons
  • seeds
  • compute reporting
  • failure analysis

THE TRAINING STUDIO

Make the subject
visible in your work.

Profile a small network and improve one resource metric without hiding quality regressions.

Evidence to produce

  • Profiler record
  • ablation table
  • compute and quality report

Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.

ASSESS THE REASONING

A question you
should be able to answer.

What must stay controlled when comparing two architectures?

Review dimensions

Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.

External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.

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