I have a model Ive trained using transfer learning. When I set the feature extractor layer to trainable the models val_accuracy during training greatly increases. When I test the outputted tensorflow lite model with tensorflow interpreter with python again the model performs very well. When I then put the same model in my android app the models accuracy is pretty much useless.
If I have the feature extractor layer set to false. The outputted tesnorflow lite model works perfectly fine on Android.
base_model_url = "https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet21k_ft1k_b0/classification/2"
feature_extractor_layer = hub.KerasLayer(
input_shape=(img_height, img_width, 3),
Any ideas on why this is the case?