title: How to perform transfer learning on .tflite models
body: <p>Currently, I'm trying to make an Android food recognition application. I manage to build an application to process the image and run on the "mobilenet_quant_v1_224.tflite" pretrained model. Everything works fine and now I want to add call of my own to the model to predict.</p>
  
  <p>I do know that TFLITE is still in its preliminary stage, maybe some manage to break the barrier. If so, please help. Any reply/advise/approach would be helpful because I've no idea how to proceed.</p>
  
  <p>Even if there's aren't any way to go around with it, please suggest me a way to achieve the aim of this application.</p>
  
  <p>Link to the trained model : <a href="http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224_quant.tgz" rel="nofollow noreferrer">http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224_quant.tgz</a></p>
  
  <p>Really hope to get some help.</p>
  
  <p>Again Thanks in Advance.</p>