Explore a step-by-step path with a crystal-clear Neural Network Explorer (with signals!), cute mini-projects, and friendly visualisations. Perfect for school students.
Big ideas in small bites 🌈
This is a feed-forward network. Circles are neurons. Lines are connections (weights). The glowing dots are signals moving from left to right.
Retrieve info (e.g. status)
GET /api/statusSend data to predict
POST /api/predictReplace/update a resource
PUT /api/modelRemove a resource
DELETE /api/model/oldfetch('/api/predict', {
method:'POST',
headers:{'Content-Type':'application/json'},
body: JSON.stringify({ features:[5.1,3.5,1.4,0.2] })
}).then(r=>r.json()).then(console.log);curl -X POST \
-H 'Content-Type: application/json' \
-d '{"features":[5.1,3.5,1.4,0.2]}' \
https://your-domain.com/api/predictApples vs bananas from measurements.
Predict 😊😐😢 from tiny texts.
Recognise doodles on a canvas.
Recycle / compost / trash.
Cat or dog sound?
Predict sunshine from numbers.