摘要： #最近临域插值 双线性插值 原理 # src 10*20 dst 5*10 # dst src x 2 newX # newX = x*(src 行/目标 行) newX = 1* (10/5) = 2 # newY = y*(src 列/目标 列) newY = 2* (20/10) = 4 # 12.3 = 12 # 双线性插值 # A1 = 20% 上+80%下 A2 # B1 = ... 阅读全文

摘要： 图片的缩放顾名思义就是改变图片的宽度和高度。 阅读全文

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摘要： import tensorflow as tf import numpy as np import matplotlib.pyplot as plt date = np.linspace(1,15,15) endPrice = np.array([2511.90,2538.26,2510.68,2591.66,2732.98,2701.69,2701.29,2678.67,2726.50,268... 阅读全文

摘要： import tensorflow as tf import numpy as np import matplotlib.pyplot as plt date = np.linspace(1,15,15) endPrice = np.array([2511.90,2538.26,2510.68,2591.66,2732.98,2701.69,2701.29,2678.67,2726.50,268... 阅读全文

摘要： w1是一个1行10列的权重矩阵。w1的维度是一个1行10列的。b1也是一个1行10列的偏移矩阵。w2是一个10行1列的权重矩阵。b2是一个15行1列的偏移矩阵。 阅读全文

摘要： import tensorflow as tf import numpy as np import matplotlib.pyplot as plt date = np.linspace(1,15,15) endPrice = np.array([2511.90,2538.26,2510.68,2591.66,2732.98,2701.69,2701.29,2678.67,2726.50,... 阅读全文

摘要： import numpy as np import matplotlib.pyplot as plt x = np.array([1,2,3,4,5,6,7,8]) y = np.array([3,5,7,6,2,6,10,15]) plt.plot(x,y,'r') # 折线 1 x 2 y 3 color import numpy as np import matplo... 阅读全文

摘要： #CURD import numpy as np data1 = np.array([1,2,3,4,5]) print(data1) data2 = np.array([[1,2], [3,4]]) print(data2) #维度 print(data1.shape,data2.shape) # zero ones 空矩阵 单位矩阵 pri... 阅读全文

摘要： import tensorflow as tf mat0 = tf.constant([[0,0,0],[0,0,0]])#两行三列 mat1 = tf.zeros([2,3]) mat2 = tf.ones([3,2]) mat3 = tf.fill([2,3],15) with tf.Session() as sess: print(sess.run(mat0)) print... 阅读全文