Additional Methods

Definition:

zero(n: int, p: int) -> Self

randomize(n: int, p: int, min_value: int|float, max_value: int|float) -> Self

The zero method takes in the number n of rows and the number p of columns and returns a Matrix instance of the format (n, p) whose entries are all zeros.

from basic_deep_learning import*

M = Matrix.zero(4,3)

print(M)

matrix([
        [0, 0, 0],
        [0, 0, 0],
        [0, 0, 0],
        [0, 0, 0]
])

As for the randomize method, it takes in the number of rows and columns, as well as two numbers min_value and max_value to generate a matrix whose entries are randomly chosen in that interval.

from basic_deep_learning import*

M = Matrix.randomize(2, 5, -2, 2)

print(M)

matrix([
        [1.5461630175389574, -1.7669737907829224, 0.7995896229747013, -0.4357429405356923, 0.4006793960718218],
        [-1.5718009270694329, 1.3578001519095744, 0.6738491556290129, -0.8341619836654566, -0.9217531463918105]
])