The things you mention after “For [the(sic)] example” are called features and they are considered as dimensions of the data. Layers are not strictly related to dimensions.
Is there a typical limit to number of features (that have almost nothing to do with each other/very little correlation) you can add to a basic "hack it together real quick from Google/copy paste/tutorials" Python neural network before the results are pretty bleh?
