There is no difference between Cupy and numpy in the use of matrices and arrays, but there are some differences at the cognitive/creative level.

In numpy and cupy, the differences between the data types of Array and Matrix are as follows:

(1) Examples of "data types" created by various functions in numpy:

(2) The only way to convert the original "array into matrix" in 2)numpy:

(3) When the original "array is higher than two dimensions", it cannot be converted into a matrix;

(4) The "two-dimensional array" can be directly used for matrix operations of various linear algebras (without being converted into matrices first);

(5) "Three-dimensional and above arrays", linear algebraic matrix operation, the result is the same as low-dimensional matrix!