testing adam optim

test.py

w_0 = 0
b_0 = 0
adam = AdamOptim()
t = 1 
converged = False

while not converged:
    dw = grad_function(w_0)
    db = grad_function(b_0)
    w_0_old = w_0
    w_0, b_0 = adam.update(t,w=w_0, b=b_0, dw=dw, db=db)
    if check_convergence(w_0, w_0_old):
        print('converged after '+str(t)+' iterations')
        break
    else:
        print('iteration '+str(t)+': weight='+str(w_0))
        t+=1