title: How to improve the model from the loss and accuracy functions
body: <p>I am training a binary classification model (CNN) using keras. I have added the loss and accuracy function got form the training model. Should one conclude that its model has an accuracy of about 82% based on the following functions, or is it better to continue improving the hyperparameters ?<br />
  Is the model really learning something ? <a href="https://i.stack.imgur.com/e4Pv4.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/e4Pv4.png" alt="enter image description here" /></a></p>