摘要：# 导入模块 import numpy as np import tensorflow as tf import matplotlib.pyplot as plt # 加载数据 from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("E:\\MNIST_data... 阅读全文

摘要：#加载TF并导入数据集 import tensorflow as tf from tensorflow.contrib import rnn from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("E:\\MNIST_data\\", one_hot=True) ... 阅读全文

摘要：#K-NN分类 import os import sys import time import operator import cx_Oracle import numpy as np import pandas as pd import tensorflow as tf conn=cx_Oracle.connect('doctor/admin@localhost:1521/tszr') c... 阅读全文

摘要：智能分诊页 智能分诊 选择你现在省份： 智能分诊页 智能分诊 ... 阅读全文

摘要：import sys import os import time import operator import cx_Oracle import numpy as np import pandas as pd import tensorflow as tf conn=cx_Oracle.connect('doctor/admin@localhost:1521/tszr') cursor = c... 阅读全文

摘要：注册登录页 天生自然健康智能医疗系统欢迎你 注册 登录 用户注册页 选择省份： ... 阅读全文

摘要：#coding:utf-8 import sys import cx_Oracle import numpy as np import pandas as pd import tensorflow as tf def main(argv): conn=cx_Oracle.connect('doctor/admin@localhost:1521/tszr') cursor = ... 阅读全文

摘要：#复诊 import sys import os import time import operator import cx_Oracle import numpy as np import pandas as pd import tensorflow as tf uid = 6 sql = "select username,sex,age,province,area,bumen,ke,res... 阅读全文

摘要：#用户注册、登录模块 #数据库脚本 CREATE TABLE usertable( userid number(8) primary key not null , username varchar(50) NULL, password varchar(50) NOT NULL, sex varchar(10) NOT NULL, age number(3) NOT NUL... 阅读全文

摘要：import tensorflow as tf import numpy as np from tensorflow.examples.tutorials.mnist import input_data #设置输入参数 batch_size = 128 test_size = 256 # 初始化权值与定义网络结构，建构一个3个卷积层和3个池化层，一个全连接层和一个输出层的卷积神经网络 # 首... 阅读全文

摘要：#训练过程的可视化 ，TensorBoard的应用 #导入模块并下载数据集 import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data #设置超参数 max_step=1000 learning_rate=0.001 dropout=0.9 # 用logdir明确标明日志文件储存路径 #... 阅读全文

摘要：import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("E:\\MNIST_data\\", one_hot=True) #构建回归模型，输入原始真实值（group truth）,采用sotfmax函数拟合，并定义... 阅读全文

摘要：import numpy as np import tensorflow as tf import matplotlib.pyplot as plt def add_layer(inputs, in_size, out_size, activation_function = None): #构建权重： in_sizeXout_size大小的矩阵 weights = tf.Var... 阅读全文

摘要：import tensorflow as tf # 输入数据 from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("E:\\MNIST_data", one_hot=True) # 定义网络的超参数 learning_rate = 0.001 trainin... 阅读全文

摘要：import numpy as np import tensorflow as tf import matplotlib.pyplot as plt # 使用'r'会出错，无法解码，只能以2进制形式读取 # img_raw = tf.gfile.FastGFile('E:\\myresource\\moutance.jpg','rb').read() img_raw = open('E:\\m... 阅读全文

摘要：import numpy as np import tensorflow as tf import matplotlib.pyplot as plt def distort_color(image, color_ordering=0): ''' 随机调整图片的色彩，定义两种处理顺序。 ''' if color_ordering == 0: ima... 阅读全文

摘要：import tensorflow as tf tf.reset_default_graph() # 配置神经网络的参数 INPUT_NODE = 784 OUTPUT_NODE = 10 IMAGE_SIZE = 28 NUM_CHANNELS = 1 NUM_LABELS = 10 # 第一层卷积层的尺寸和深度 CONV1_DEEP = 32 CONV1_SIZE = 5 # 第二层... 阅读全文

摘要：import numpy as np from matplotlib import pyplot as plt from sklearn import neighbors, datasets from matplotlib.colors import ListedColormap from sklearn.neural_network import MLPClassifier ## 加载数... 阅读全文

摘要：# coding: utf-8 import time import numpy as np import tensorflow as tf import _pickle as pickle import matplotlib.pyplot as plt def unpickle(filename): import pickle with open(filename, '... 阅读全文

摘要：import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data import time # 声明输入图片数据，类别 x = tf.placeholder('float', [None, 784]) y_ = tf.placeholder('float', [None, 10]) # 输入图片数... 阅读全文