load model keras

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serialize keras model -

# Save the modelmodel.save('path_to_my_model.h5')# Recreate the exact same model purely from the filenew_model = keras.models.load_model('path_to_my_model.h5')

keras load model with custom objects -

model = load_model(path,custom_objects={"weighted_loss":weighted_loss})

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