张量点积

两个向量的点积

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1 2 3 4 5 6

import numpy as np   a1 = np.array([1, 2, 3, 4, 5]) a2 = np.array([2, 3, 4, 5, 6]) a3 = np.dot(a1, a2) print(a3)  # 70，对应位置的值相乘再相加

向量与矩阵的点积

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import numpy as np   # 矩阵与向量的点积 matrix = np.array([     [1, 2, 3, 4, 5],     [6, 4, 3, 2, 1] ]) vetor = np.array([3, 6, 5, 2, 1]) result = np.dot(matrix, vetor) print(result) """ [43 62] """

矩阵与矩阵的点积

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import numpy as np   # 矩阵与矩阵的点积 matrix1 = np.array([     [1, 2, 3, 4, 5],     [6, 4, 3, 2, 1] ]) matrix2 = np.array([     [8, 2, 3, 4, 5],     [6, 4, 3, 2, 1],     [6, 4, 3, 2, 1],     [6, 4, 3, 2, 1],     [6, 4, 3, 2, 1] ]) result = np.dot(matrix1, matrix2)  # matrix的行与 atrix的列之间的点积 print(result) """ [[ 92  58  45  32  19]  [108  52  48  44  40]] """