title: Neural network classification loss from validation set: Does it update anything dynamically
body: <p>I'm attempting t study up a bit on the theory of training neural networks, and right now i have gotten to validation sets. </p>
  
  <p>Now, I can understand that a validation set gives us a loss-index, which helps us in knowing whether we are overfitting or not. But when I read in books and and watch videos, everyone seems to express themselves in a manner that is a bit ambiguous. </p>
  
  <p>Does the model update itself manually when the validation set is being run? can layers, weights, biases, or net-amounts of neurons be updated "automatically" when it is being validated?</p>
  
  <p>Thank you very much</p>