Let the two 2D array are v1 and v2:-
v1 = [[1, 2], [3, 4]]
v2 = [[1, 2], [3, 4]]

Output:
[[1, 4]
[9, 16]]
From below picture it would be clear.

Let the two 2D array are v1 and v2:-
v1=[[1, 2], [3, 4]]
v2=[[1, 2], [3, 4]]
Than numpy.dot(v1, v2)  gives output of :-
[[ 7 10]
 [15 22]]

import numpy as np
 
 
# vector v1 of dimension (2, 2)
v1 = np.array([[1, 2], [1, 2]])
 
# vector v2 of dimension (2, 2)
v2 = np.array([[1, 2], [1, 2]])
 
print("vector multiplication")
print(np.dot(v1, v2))
 
print("\nElementwise multiplication of two vector")
print(v1 * v2)

**Output :**
vector multiplication
[[3 6]
 [3 6]]

Elementwise multiplication of two vector
[[1 4]
 [1 4]]

import numpy as np
 
 
v1 = np.array([[1, 2, 3], [1, 2, 3], [1, 2, 3]])
 
v2 = np.array([[[1, 2, 3], [1, 2, 3], [1, 2, 3]]])
 
print("vector multiplication")
print(np.dot(v1, v2))
 
print("\nElementwise multiplication of two vector")
print(v1 * v2)

vector multiplication
[[ 6 12 18]
 [ 6 12 18]
 [ 6 12 18]]

Elementwise multiplication of two vector
[[1 4 9]
 [1 4 9]
 [1 4 9]]