agreed - though I'm somewhat saddened to see that this library doesn't seem to be getting the same positive reception (in terms of scoring / comments) as Tensorflow did yesterday. Am I right and if so, is there a technical reason for that?
Though Tensorflow stayed at #1 for a while, it only garnered around 200 comments, which is very high for a ML topic on HN (in my anecdotal experience, ML topics are highly rated but under-commented.) I imagine the audience for this library to be very small compared to Tensorflow, which likely included more ML/Google FOSS enthusiasts than day-to-day practitioners. Looks like this library is firmly targeted toward the latter.
There's still some love for genetic algorithms somewhere, right?
...Right ??