Softmax: Update output values in Example 2

[ElieDeBrauwer]

The following python code:

def softmax(input_list):
    max_val = max(input_list)
    exps = [pow(2.718281828459, x - max_val) for x in input_list]
    sum_exps = sum(exps)
    return [e / sum_exps for e in exps]

data = [-10.0, -5.0, 0.0, 5.0, 10.0]

probabilities = softmax(data)

print(f"{'Input':<10} | {'Standard Notation':<15} | {'Scientific Notation'}")
print("-" * 55)

for val, prob in zip(data, probabilities):
    print(f"{val:<10} | {prob:<15.10f} | {prob:.3e}")

Produces the following output:

Input      | Standard Notation | Scientific Notation
-------------------------------------------------------
-10.0      | 0.0000000020    | 2.047e-09
-5.0       | 0.0000003038    | 3.038e-07
0.0        | 0.0000450940    | 4.509e-05
5.0        | 0.0066925471    | 6.693e-03
10.0       | 0.9932620530    | 9.933e-01

This PR ensures the description is in line with the correct values.