[MuffinFlavored]

I've never understood how to add "layers" when training a neural network. For example, I could train a model on historical home prices by area + date/time, but I'd also like to add for example, the unemployment rate, the trailing rate of inflation past 12 months, the current 30 year mortgage rate for the time, etc.

[nanidin]

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.

[MuffinFlavored]

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?