Is there an easy way (for example, without changing caffe ) to load from several pre-prepared networks into one network? A network contains several levels with the same dimensions and names as both pre-prepared networks.
I am trying to achieve this using NVidia DIGITS and Caffe.
EDIT : I thought it would be impossible to do directly from DIGITS, as confirmed by the answers. Can anyone suggest an easy way to change the DIGITS code to be able to select multiple pre-prepared networks? I checked the code a bit and thought that learning a script would be a good place to start, but I don't have in-depth knowledge of Caffe, so I'm not sure what the best / fastest way to achieve this would be.
deep-learning caffe conv-neural-network pycaffe nvidia-digits
Igor Ševo
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