13 ms·

You act like the train-test-deploy cycle only happens once. But in reality wouldn't teams do this continuously? Training/improving models would happen regular

• joe_the_user 9y ago
  > "You act like the train-test-deploy cycle only happens once" My impression is currently the train-test-deploy cycle is very much not an automatic process but rather a tricky, difficult process which experts working and scratching their heads to get working. The phrase for getting a deep learning system working is often "graduate student descent". Sure, you could just blindly run the process again but there's a lot to know to get it right - why we don't just have "deep learning in a box" right now (though people are working it). So yeah, I am sure the process is re-done periodically but redoing may not be a slam dunk as is (though people are working on that too, people are working everything...). And I'm not advocating any particular approach, just observing current approaches.