Compare a single threshold with a two-hidden-unit network on all four XOR inputs.
Name the expected effect, metric and what would count against the hypothesis.
Record fixtures, source, version, parameters, units, controls and how cases are split.
| Case and split | Baseline result | Changed result | Interpretation |
|---|---|---|---|
XOR cannot be separated by a single linear boundary, regardless of tuning these weights.
Record your new case and rerun the original cases after redesign.
Explain the mechanism, one exact result and what would overturn your conclusion.
The hand-designed XOR network demonstrates representation capacity, not a training result.
Next test: _ . Project filename: _ . Work that is mine and tools I used: ____ .
Use fictional data. Download a resumable project before changing devices. On a shared device, turn remembering off and clear your work when finished.