StepLR# class brainpy.optim.StepLR(lr, step_size, gamma=0.1, last_epoch=-1)[source]# Decays the learning rate of each parameter group by gamma every step_size epochs. Parameters: lr (float) – Initial learning rate. step_size (int) – Period of learning rate decay. gamma (float) – Multiplicative factor of learning rate decay. Default: 0.1. last_epoch (int) – The index of last epoch. Default: -1.