01 / IMPLEMENTATION & CONTRIBUTION
What the work involves
Local modules separate configuration, seeding, data transforms, model, training and evaluation, with CLI experiment flags and lightweight wiring/smoke tests.
Technical depth
Reproducibility controls; configurable affine transforms; architecture-width variants; train/evaluation loop; machine-readable result output; modular ablation harness.
The project family
uiuc/cs44102 / RESULTS
What came out of it
A configurable CIFAR-10 experiment harness with separated training/evaluation modules, machine-readable results, and smoke-test source. README sample scores are illustrative rather than measured outcomes.
03 / SUPPORTING EVIDENCE
Follow the source
Implementation notes, project records, and supporting artifacts.
Source context & project scope
Tutorial-based course work, not a new CNN architecture.
No independent candidate attribution or fresh test run.
The course variation applies augmentation to both training and test transforms, so comparisons need that evaluation caveat.