title: Training Loss Improving but Validation Converges Early
body: <p>I am creating a CNN using TensorFlow and when training, I find that the training dataset is still improving (i.e. loss still decreasing), while the test/validation dataset has converged and is no longer improving. (Learning Curve Plot attached below)</p>
  <p>Does anyone know why this might be the case and how could I possibly fix it, to have the validation loss reduce along with the training? Would be greatly appreciated!</p>
  <p>Plot of my models learning curve:</p>
  <p><a href="https://i.stack.imgur.com/dJ2Fg.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/dJ2Fg.png" alt="enter image description here" /></a></p>