Goal Function:
Network Output:
# of hidden layers
Set
Input, 1 neuron
Output, 1 neuron, activation:
Apply
Epochs:
Minimum Learning Rate:
Maximum Learning Rate:
Epochs per Half Cycle:
Resolution:
Plot Frequencey:
Apply
Epochs
: number of training steps to run per train button press
Minimum Learning Rate
: the minimum value the learning rate will oscillate to
Maximum Learning Rate
: the maximum value the learning rate will oscillate to
Epochs per Half Cycle
: how many epochs it will take for the learning rate to oscillate from min to max, or max to min.
Resolution
: the step between the functions being sampled
Plot Frequencey
: how often (in epochs) the cost will be calcuated and the plot will be updated
Goal Function: (x) => {
return
}
Apply
export
import
Refresh
Regen
Train
Stop training
Cost: