2 ms·
Sure, but I assumed he was referring to the biggest computational bottleneck. All of those others are just tooling problems or data quality problems. For DNNs t
by plaidfuji 6y ago
Sure, but I assumed he was referring to the biggest computational bottleneck. All of those others are just tooling problems or data quality problems. For DNNs the hours-to-weeks-long training times make it hard to iterate manually or do any kind of rational optimization of architecture and hyper parameters.
- RhysU 6y agoSure, if we just had stationary, perfect data and perfect objective functions it's only computational, operational, monitoring, and maintenance complexity that holds us back.