299 karma · joined October 25, 2013
so sanity check would be checking if the behavior is reasonable and rational.
First was our description of our JSON apis, which would eventually be sent to a public github.
The second was some internal documentation we had for our internal clients. I don't think there were any 'secrets' in there, but it would be documentation for the internal side for internal clients that no outsider could ever use.
2. Do you have a TOC or expected date for this to be out? Extremely interested!
https://www.udacity.com/course/introduction-to-graduate-algo...
For instance, it's extremely easy to set up an MNIST clone and achieve almost world-record performance for single character recognition with a simple CNN. But how do you expand that to a real example, for instance to do license plate OCR? Or receipt OCR? Do you have to do two models, 1 to perform localization (detecting license plates or individual items in a receipt) and then a second model which can perform OCR from the regions detected from the first model? Or are these usually done with a single model that can do it all?
I'm not sure if answering these questions is a goal of your course, or if they're perhaps naive questions to begin with.