Orangeand blue are used throughout the visualization in slightly different ways, butin general orange shows negative values while blue shows positive values.

Thedata points (represented by small circles) are initially colored orange orblue, which correspond to positive one and negative one.

In thehidden layers, the lines are colored by the weights of the connections betweenneurons. Blue shows a positive weight, which means the network is using thatoutput of the neuron as given. An orange line shows that the network isassiging a negative weight.

In theoutput layer, the dots are colored orange or blue depending on their originalvalues. The background color shows what the network is predicting for aparticular area. The intensity of the color shows how confident that predictionis.