NISPS Workbench
Train a neural network to map 2D joystick positions to output parameters using interactive machine learning.
Input Space
The heatmap shows what the network has learned across the input space. Bright dots show training examples. Drag anywhere on the map to move the input position. Double-click or press Follow to toggle follow mode.
Learning
Both approaches can be freely mixed:
- RL Feedback: Press + Good to reinforce the current mapping, or − Explore to add noise and try variations.
- Supervised: Drag param bars to set desired outputs, then Add Example and Train.
Output Modes
Visual: 20 params control the flow-field particle system. Synth: 126 params control a C15 synthesizer engine.
Tap outside to close