title: Image classification model re-calibration
body: <p>I built an image classification model (CNN) using tensorflow-keras. I have some new images which I need to feed into the same model in order to increase the accuracy of the existing model.</p>
  <p>I tried using the following code. But it decreases the accuracy.</p>
  <pre><code>re_calibrated_model = loaded_model.fit_generator(new_training_set,
                                                     steps_per_epoch=int(stp),
                                                     epochs=int(epc),
                                                     validation_data=new_test_set,
                                                     verbose=1,
                                                     validation_steps = 50)
  </code></pre>
  <p>Is there any method that I can use to re-calibrate my CNN model?</p>