Toy neural network
A simple Python feedforward neural network implementation for learning the mechanics behind neural models.
This is intentionally small: a feedforward neural network implemented in Python for educational purposes. It belongs in the Lab as a fundamentals artifact, not as a production AI project.
| Piece | Role | Why it matters |
|---|---|---|
| Weights | Model parameters | Shows what training updates. |
| Forward pass | Produces predictions | Makes inference explicit. |
| Training loop | Adjusts parameters | Connects error to learning. |
The useful signal is curiosity and first-principles understanding.
Repository: Toy-Neural-Network.