# Evidence: Build a tiny multilayer perceptron

Copy this template into your own portfolio and fill it after running your modified exercise.

## Evidence required

Keep the 33-parameter shape calculation, independent NumPy cross-entropy, train and held-out seeds, initial/final loss, nearby held-out accuracy, and one repaired score/label shape failure.

- Command: `python3 phases/05-networks/01-build-a-tiny-multilayer-perceptron/code/main.py`
- Working directory: repository root
- Python / JAX / NumPy versions: 
- Hardware and device: 
- My prediction before running: 
- My change to the exercise: 
- Exit code and meaningful output: 
- Why the result supports or contradicts my prediction: 
- Checkpoint result: 
- Artifact link or saved filename: 
- Portfolio status: saved in local workspace