How to save different keras model into one .h5py

Question

I am trying to do video classification using Conv2D and LSTM. After getting the features from Conv2D I pass them to LSTM. As they are two different models how can I merge them into one for getting a single.h5py?

And also the features from Conv2D are passed to LSTM as sequences of frames saved as ".npy" array files.

I need to save the model for different purposes.

Answer 1

Assuming you are using tf keras for merge you can use this method:

model = keras.models.Model(inputs=[Conv2D, LSTM], outputs=out)

And to save your model you can just use.save as explained here

model.save('your_model.h5')

Not exactly sure if this is what you need but hope it helps.