TensorFlow--卷积神经网络&GPS数据预测区块车流量大小模型测试代码

数据地址：链接：https://pan.baidu.com/s/1KDPmGenKzOJ2nUoWPYFavw 密码：ir84

import numpy as np
import csv
import tensorflow as tf


url = "/home/enche/test/test.csv"
data = csv.reader(open(url))
x_ = []
y_ = []
for i in data:
    sum = 0
    for j in range(len(i)):
        i[j] = np.float32(i[j])
        sum += i[j]
    for j in range(len(i)):
        if(j<len(i)-1):
            x_.append(np.float32(i[j])/sum)
        else:
            y_.append(np.float32(i[j]))




def weight_variable(shape):
  initial = tf.truncated_normal(shape, stddev=0.1)
  return tf.Variable(initial)


def bias_variable(shape):
  initial = tf.constant(0.1, shape=shape)
  return tf.Variable(initial)




def conv2d(x, W):