Last year, with a couple of folks from the TFLite community, I put together the following repository to show non-trivial TFLite conversion workflows:

  
      

      github.com
  

  
    

sayakpaul/Adventures-in-TensorFlow-Lite 15


  This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

  

  
    
    
  

  


There are many things possible with just a few TFLite API calls (yes it’s that well-designed). The best part is the code won’t even scare you into thinking about the non-trivial nature of these conversion workflows. Two other repositories you should look into in this regard:

tulasiram58827/ocr_tflite 3
tulasiram58827/TTS_TFLite 6

The above two are probably the firsts of their kinds.