I have a saved a model using model.save()
. I'm trying to reload the model and add a few layers and tune some hyper-parameters, however, it throws the AttributeError.
Model is loaded using load_model()
.
I guess I'm missing understanding how to add layers to saved layers. If someone can guide me here, it will be great. I'm a novice to deep learning and using keras, so probably my request would be silly.
Snippet:
prev_model = load_model('final_model.h5') # loading the previously saved model.
prev_model.add(Dense(256,activation='relu'))
prev_model.add(Dropout(0.5))
prev_model.add(Dense(1,activation='sigmoid'))
model = Model(inputs=prev_model.input, outputs=prev_model(prev_model.output))
And the error it throws:
Traceback (most recent call last):
File "image_classifier_3.py", line 39, in <module>
prev_model.add(Dense(256,activation='relu'))
AttributeError: 'Model' object has no attribute 'add'
I know adding layers works on new Sequential() model, but how do we add to existing saved models?
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