Hi:
I made a simple denoising autoencoder DL model, it works at PC(tensorflow with keras), but I'd like to have it gives result in real-time, I noticed FlexRIO have 1000+ DSP48E unit, it should be able to do simple Deep-learning work.
My model saved as h5 file is no more then 10Mbyte, which is really small, my goal is put this model to run in hardware level.
I have both FlexRIO 7935+1483, and I got a 1477 cameralink card recently, I think both device have enough power to run my model at reasonable speed.
(If a raspberry-pi can do this job, why can't the mighty FPGA do it?)