Created
May 6, 2019 04:37
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| model.save( 'model.h5' ) | |
| converter = tf.lite.TFLiteConverter.from_keras_model_file( 'model.h5' ) | |
| converter.post_training_quantize = True | |
| tflite_model = converter.convert() | |
| size = open( 'recog_model.tflite' , 'wb' ).write( tflite_model ) | |
| print( 'Model size > {} Megabytes'.format( size / 1024**2)) |
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