I have the ImageNet data and want to test Intel Caffe on it. I am reading lot of tutorials, however I am getting confused how exactly is this raw data used.
For example, in below command as per Intel article, it's bench marking the training model. However, without taking the raw data how can it benchmark or I am missing something here?
/opt/caffe/build/tools/caffe time --model=/opt/caffe/models/mkl2017_alexnet/train_val.prototxt
If anyone can point me to better documentation which can help me understand details, I will appreciate it. This is first time I am working with a learning framework, so will take time for me to get hang of it.