Goal Function:
Network Output:
# of hidden layers
Input, 1 neuron
Output, 1 neuron, activation:
Epochs:
Minimum Learning Rate:
Maximum Learning Rate:
Epochs per Half Cycle:
Resolution:
Plot Frequency:
Goal Function: (x) => {
return
}
Network Output:
# of hidden layers
Input, 1 neuron
Epochs:
Minimum Learning Rate:
Maximum Learning Rate:
Epochs per Half Cycle:
Resolution:
Plot Frequency:
- 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 Frequency: how often (in epochs) the cost is calculated and the plot is updated
Goal Function: (x) => {
return
}
Cost: