I'm developing for the Android platform and, as of my current understanding, I'd like to use a YAML generated by training a FisherFaceRecognizer in my computer (via Python) to be loaded into the FisherFaceRecognizer in the Android app I'm testing it in.
In my last time training the FisherFaceRecognizer in my computer with 1923 images resized to 120x120 from the Wiki part of the IMDB-WIKI dataset divided into eight labels by both gender and age group, it took 1506 seconds in total. I feel as if that would be too slow, especially if I need to train the FisherFaceRecognizer with many more pictures.
My question: Can I make the training process any faster other than just buying a computer with a faster processor?