How to perform element-wise matrix multiplcation in NumPy

Element-wise matrix multiplication results in a new matrix where each element is the product of the elements at the same positions in the original matrices. For example, multiplying the matrices [[1, 2], [3, 4]] and [[5, 6], [7, 8]] results in [[5, 12], [21, 32]].

Solution for How to perform element-wise matrix multiplcation in NumPy : You can use numpy.array() and the * operator to perform element-wise matrix multiplication Call numpy.array(nested_list) where nested_list is a nested list to return a numpy.ndarray object. Use the * operator to perform element-wise matrix multiplication between numpy.ndarray() objects.


how-to-perform-element-wise-matrix-multiplcation-in-numpy