摘要：import numpy as np import tensorflow as tf inputX = np.random.rand(100) inputY = np.multiply(3,inputX) + 1 x = tf.placeholder("float32") y_ = tf.placeholder("float32") weight = tf.Variable(0.25) ... 阅读全文

摘要：import cv2 import numpy as np img = cv2.imread("G:\\MyLearning\\TensorFlow_deep_learn\\data\\lena.jpg") img_hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV) turn_green_hsv = img_hsv.copy() turn_green_hsv[:... 阅读全文

摘要：import cv2 import numpy as np img = np.mat(np.zeros((300,300))) cv2.imshow("test",img) cv2.waitKey(0) import cv2 import numpy as np img = np.mat(np.zeros((300,300),dtype=np.uint8)) cv2.imshow("te... 阅读全文

摘要：from pylab import * import pandas as pd import matplotlib.pyplot as plot import numpy as np filePath = ("G:\\MyLearning\\TensorFlow_deep_learn\\data\\dataTest.csv") dataFile = pd.read_csv(filePath,h... 阅读全文

摘要：import numpy as np data = np.mat([[1,200,105,3,False], [2,165,80,2,False], [3,184.5,120,2,False], [4,116,70.8,1,False], [5,270,150,4,True]... 阅读全文

摘要：import numpy,math def softmax(inMatrix): m,n = numpy.shape(inMatrix) outMatrix = numpy.mat(numpy.zeros((m,n))) soft_sum = 0 for idx in range(0,n): outMatrix[0,idx] = math.exp... 阅读全文

摘要：import threading, time def doWaiting(): print('start waiting:', time.strftime('%S')) time.sleep(3) print('stop waiting', time.strftime('%S')) thread1 = threading.Thread(target = doWaitin... 阅读全文

摘要：#coding = utf8 import threading,time,random count = 0 class MyThread (threading.Thread): def __init__(self,lock,threadName): super(MyThread,self).__init__(name = threadName) sel... 阅读全文

摘要：#coding = utf8 import threading,time count = 0 class MyThread(threading.Thread): def __init__(self,threadName): super(MyThread,self).__init__(name = threadName) def run(self): ... 阅读全文