optim/onn/optimizer_base.py

19 lines
367 B
Python

import numpy as np
from .float import _f
class Optimizer:
def __init__(self, lr=0.1):
self.lr = _f(lr) # learning rate
self.base_rate = self.lr
self.reset()
def reset(self):
self.lr = self.base_rate
def compute(self, dW, W):
return -self.lr * dW
def update(self, dW, W):
W += self.compute(dW, W)