title: Retrain last inception layer to work with smaller INPUT_SIZE
body: <p>Retrain inception (there is no paramaeters, just path for our own image data): </p>
  
  <p><a href="https://www.tensorflow.org/versions/r0.12/how_tos/image_retraining/" rel="nofollow noreferrer">https://www.tensorflow.org/versions/r0.12/how_tos/image_retraining/</a></p>
  
  <p>For mobilenet is said that the input image size could be '224', '192', '160', or '128' (for retraining purpose):</p>
  
  <p><a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py#L80" rel="nofollow noreferrer">https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py#L80</a></p>
  
  <p>What about inception models? Can I somehow retrain inception model (its last layer like for mobilenet) to work with smaller (different) image input sizes (to get results faster)?</p>