we basically grow models of let's say same quality like all the others by using thousand time or ten thousand times less training data
for - comparison - semantic folding vs normal machine learning - training dataset sizes and times
we basically grow models of let's say same quality like all the others by using thousand time or ten thousand times less training data
for - comparison - semantic folding vs normal machine learning - training dataset sizes and times