Draw a creature, guess before the model does, then watch the exact maths that updates its weights.
Step 1 — draw a creature
Click squares to draw. Then tell the model what it is, so it gets added to the training set.
Step 2 — guess before the model does
This image was picked at random. Click your guess, then see if you or the model got it right.
Step 3 — show the model this answer, and watch it learn
This runs one real training step: for each pixel, gradient = error × pixel value, then weight -= learning rate × gradient. Below is that exact maths for a few sample pixels.
| Pixel | Value | Error | Gradient | Old weight | New weight |
|---|
The result — one weight grid per class
Teal means that pixel votes for this class, coral means it votes against. Repeat steps 2–3 many times and watch a shape emerge.