I think you'd be surprised at how few samples you need in order to get most deep learning algorithms learning at low loss. All you need are features with distri

I think you'd be surprised at how few samples you need in order to get most deep learning algorithms learning at low loss. All you need are features with distributions that are roughly representative of the broader population. The real problem that I see is that people don't pick a task that is granular enough. github.com/aiqc/aiqc