Mon Feb 24 17:19:58 2020
<773ab1f1> Couple of general outstanding neural networks questions I got. I need to know the difference between GAN and CANs and what is the benifit or drawback of each one. What makes one good at a certain problem and one good at another
<773ab1f1> I need to learn how to set hyperparameters on NN to produce the best model
<773ab1f1> Is deep learning a larger concept and CANs just so happen to be the right tool for the job/
<773ab1f1> I’d like to see a ‘big data’ success story. It would be of particular interest if this is not a tech company. How are they setting up their ML pipelines?
<773ab1f1> I heard a phrase a while back that ‘big data’ is like sex in high school. Everyone is talking about it, not many are doing it and almost none are doing it well.
<773ab1f1> Fact of the matter is, until I understand the whole stack, from data stewardship to the art of training these models, I am always going to be faking it.