For extra input that does not matter, you should not input it to the network.
Feature selection, the process of finding and selecting the most
useful features in a dataset, is a crucial step of the machine
learning pipeline. Unnecessary features decrease training speed,
decrease model interpretability, and, most importantly, decrease
Additional features can also cause overfitting if they have low or misleading information.
Consider the following problem:
X = [1, 3, 3, 4, 5], Y = [1, 3, 4, 4, 5].
Suppose that the real dataset was generated from the relationship:
Y = X, with a probability of 0.2 of adding or subtracting 1.
A reasonable model estimate is Y = X. Note that no model can ...