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