I created a repository with EfficientNet-lite model variants adapted to Keras (functional API).

  
      

      github.com
  

  
    

sebastian-sz/efficientnet-lite-keras 38


  Keras reimplementation of EfficientNet Lite. Contribute to sebastian-sz/efficientnet-lite-keras development by creating an account on GitHub.

  

  
    
    
  

  


The main goal was to mimic tf.keras.applications usability as much as possible. The lite model variants were only available in Tensorflow 1.x - adopting them to Keras allowed for more flexibility, and made them more consistent with existing API and documentation.
According to original repository 6, the lite variants:

Use ReLU6 instead of Swish.
Do not use SE blocks.
Have fixed Stem and Head, while scaling up the models.

Hope that it helps somebody!