I have seen lots of examples showing how to insert image data for model training in Caffe.
I am trying to train a model using data that is not images. I can reshape it as a matrix or a vector (for every example), but I don't understand how to make my Caffe network read it.
I know that Caffe can work with lmdb/hdf5 databases, and I can additionally use a Python data layer. I guess a Python data layer will be my best choice. Can someone provide an example of how to create some kind of array in Python and use it as training data for a Caffe model?