Camila_99$$
Camila_99$$
PostsComments
DIIDevHeads IoT Integration Server
Created by Enthernet Code on 7/16/2024 in #middleware-and-os
How do I convert a Keras model to TensorFlow Lite format?
@Marvee Amasi Great points! Just to add a bit more detail: 1/Export Keras model: 
   model.save('saved_model')
   
   model.save('saved_model')
2/Convert to TensorFlow Lite: 
   import tensorflow as tf
   converter = tf.lite.TFLiteConverter.from_saved_model('saved_model')
   converter.optimizations = [tf.lite.Optimize.DEFAULT]  # Optional but recommended
   tflite_model = converter.convert()
   with open('model.tflite', 'wb') as f:
       f.write(tflite_model)
   
   import tensorflow as tf
   converter = tf.lite.TFLiteConverter.from_saved_model('saved_model')
   converter.optimizations = [tf.lite.Optimize.DEFAULT]  # Optional but recommended
   tflite_model = converter.convert()
   with open('model.tflite', 'wb') as f:
       f.write(tflite_model)
3/Integrate with microcontroller: Use TensorFlow Lite for Microcontrollers library. More details here: TensorFlow Lite for Microcontrollers.
7 replies