def __init__(self, net, input, target, lr=0.07, adapt=False,
rate_dec=0.5, rate_inc=1.2, rate_min=1e-9, rate_max=50):
super(TrainRprop, self).__init__(net, input, target, lr, adapt)
self.rate_inc = rate_inc
self.rate_dec = rate_dec
self.rate_max = rate_max
self.rate_min = rate_min
size = tool.np_size(net)
self.grad_prev = np.zeros(size)
self.rate = np.zeros(size) + lr
def __init__(self, net, input, target, lr=0.07, adapt=False,
rate_dec=0.5, rate_inc=1.2, rate_min=1e-9, rate_max=50):
super(TrainRprop, self).__init__(net, input, target, lr, adapt)
self.rate_inc = rate_inc
self.rate_dec = rate_dec
self.rate_max = rate_max
self.rate_min = rate_min
size = tool.np_size(net)
self.grad_prev = np.zeros(size)
self.rate = np.zeros(size) + lr