calculate numpy array dot product has two kinds of methods:
1, the use of np. Dot () method:
Define two arrays:

 x=np. Array ([[1, 2, 3], [4 and 6]]) 

 y=np. Array ([[1, 2], [4, 5], [7, 8]]) 

The use of np. Dot () method:

 np. Dot (x, y) 

2, the use of an array. The dot (array)
Or the two arrays: x, y
Use the dot () method


:


In simple terms, is to use an array of x multiplier y winning to each element, and then add
That is:
[[the first line of the first column first line + + * * the second column]
[the second line + + * * the first column of the second line of the second column]]

note: matrix dot product is the column number of the matrix A is equal to the condition of matrix B, the number of rows to the dot product calculation

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