用numpy实现矩阵乘法

使用numpy库可以很方便地实现矩阵乘法。可以使用numpy.matmul()函数来计算两个矩阵的矩阵乘积。比如，我们有两个矩阵array1和array2，可以使用以下代码来计算它们的矩阵乘积：

import numpy as np
array1 = np.array([[1,2,3],[4,5,6],[7,8,9]])
array2 = np.array([[9,8,7],[6,5,4],[3,2,1]])
result = np.matmul(array1, array2)

在这个例子中，array1和array2都是二维数组（也可以是多维数组），np.matmul()函数计算它们的矩阵乘积，并将结果存储在result变量中。你可以通过print(result)来打印出结果。这样就实现了用numpy进行矩阵乘法运算。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [NumPy矩阵乘法](https://blog.csdn.net/ccc369639963/article/details/124191936)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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