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 scipy from sklearn.datasets import load_digits from sklearn.metrics import classification_report from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_... 阅读全文

摘要：import scipy from sklearn.datasets import load_digits from sklearn.metrics import classification_report from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn.svm import LinearSVC from sklearn.datasets import load_digits from sklearn.model_selection import validation_curve #模型选择验证曲线validatio... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn.svm import LinearSVC from sklearn.datasets import load_digits from sklearn.model_selection import learning_curve #模型选择学习曲线learning_cu... 阅读全文

摘要：from sklearn.metrics import mean_absolute_error,mean_squared_error #模型选择回归问题性能度量mean_absolute_error模型 def test_mean_absolute_error(): y_true=[1,1,1,1,1,2,2,2,0,0] y_pred=[0,0,0,1,1,1,0,0,0,0... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn.svm import SVC from sklearn.datasets import load_iris from sklearn.preprocessing import label_binarize from sklearn.multiclass impo... 阅读全文

摘要：import numpy as np from sklearn.model_selection import train_test_split,KFold,StratifiedKFold,LeaveOneOut,cross_val_score #模型选择数据集切分train_test_split模型 def test_train_test_split(): X=[[1,2,3,4],... 阅读全文

摘要：from sklearn.metrics import zero_one_loss,log_loss def test_zero_one_loss(): y_true=[1,1,1,1,1,0,0,0,0,0] y_pred=[0,0,0,1,1,1,1,1,0,0] print("zero_one_loss:",zero_one_loss(y_true,y_pred,... 阅读全文

摘要：from sklearn.decomposition import DictionaryLearning #数据预处理字典学习DictionaryLearning模型 def test_DictionaryLearning(): X=[[1,2,3,4,5], [6,7,8,9,10], [10,9,8,7,6,], [5,4,3,2,1]] ... 阅读全文