#training

What changes when a neural network is trained

Training a neural network adjusts numerical parameters so its outputs better match a chosen objective on training data. An error measure guides those adjustments through repeated examples. The process can produce useful patterns, but good training performance alone does not show that the model will handle unfamiliar cases well.