【发布时间】:2020-06-08 09:35:00
【问题描述】:
import numpy as np
import matplotlib as plt
import random
"""
def func(data): #labels our train data
train_labels = []
i = 1
for pt in data:
if pt[0] > pt[1]:
train_labels.append(1)
else:
train_labels.append(-1)
return train_labels
#print("{}. Punkt = {}".format(i, x))
#i += 1
"""
def activation(input):
if input >= 0:
return 1
else:
return -1
class Model:
def __init__(self, nweights=1):
self.nweights = nweights
def setweights(self):
self.weights = np.random.uniform(low=-1, high=1, size=(self.nweights, 1))
return self.weights
def guess(self, input):
sum = 0;
i = 0;
while i < len(self.weights):
sum += input[i] * self.weights[i]
return func(sum)
train_data = np.random.randint(100, size=(1, 2))
brain = Model(1)
brain.setweights()
brain.guess(train_data)
你好, 我的代码有一点问题,因为它只是在加载,但我没有得到任何结果。所以它开始调试,但我没有得到任何错误或结果,它只是调试而没有完成。这个问题不能归结为任何硬件问题,所以它一定和我的代码有关。感谢您的帮助!
【问题讨论】:
-
您不会在
while i < ...循环中增加 i`,因此它会陷入无限循环。
标签: python arrays numpy debugging neural-network