Size is relative and statements like “too big” or “too small” (cough TWSS 😛 ) are not immutable properties of the universe but rather simply a matter of perspective. Change your perspective just a little Goldilocks and you might find that your neural network thinks your data porridge tastes “just right”!

Err… what I mean is… we’re going to look at how to scale your data so that you can feed it to your neural network without causing it (or you) to have any unpleasant indigestion.

Specifically, lets say you have a very important series of values (including strings of text) that you want to use as part of your training dataset but they don’t fit within the yummy-data range of -1 to 1… so what do you do?

Continue reading “Scaling Data”