Calculating Multidimensional Arrays

If you learn how to calculate multidimensional arrays using NumPy, you will be able to implement a neural network efficiently. First, we will look at how to use NumPy to calculate multidimensional arrays. Then, we will implement a neural network.

Multidimensional Arrays

Simply put, a multidimensional array is "a set of numbers" arranged in a line, in a rectangle, in three dimensions, or (more generally) in N dimensions, called a multidimensional array. Let's use NumPy to create a multidimensional array. First, we will create a one-dimensional array, as described so far:

>>> import numpy as np
>>> A = np.array([1, 2, 3, 4])
>>> print(A)
[1 2 3 4]
>>> np.ndim(A)
1
>>> A.shape
(4,)
>>> A.shape[0]
4

As shown here, you can use the np.ndim() function to obtain the number of dimensions of an array. You can also use the instance variable, shape, to obtain the shape of the array...