Softmax is used in categorisation problems in neural networks to map the final layer of neurons from scalar input values to a probability distribution over different categories
In this example the input values for each category can vary on a scale from 0 up to 10 - move the sliders to change the values
The sourcecode is available here: github.com/wjsrobertson/softmax-slider