Hi, What are the parameters we can tune to train and predict faster. I am seeing ingestion speed without learning at 100 scalar points points per second.
If I downsample my input data (EEG) to 100Hz which is a minimum acceptable and using a 16 core amazon instance, I would need 913 years (not corrected for Moore's law). Which model params should I try to tune? Thank you for the help, Nicolas.
