I can understand how new advances are being made, but what I do not understand on how to discover them in the first place, and what tradeoffs are. Why is going deeper better than a shallower, more connected architecture? Why are Resnet's better than RNN/LSTM's, when they seem like the same thing? It feels to me that we are picking up mud, and throwing it against a wall to see what sticks. I have a physics background, so I'm more used to deliberate design way of thinking (we used this architecture because of X, Y, and Z).
Anyway, I was hoping to see if someone know's where I can find some mentorship where these questions are answered. Maybe someone records a professor's office hours? Is there an online meetup that discusses these issues? I have particular interest in multiple object tracking and segmentation.
I will be applying for Google Brain soon, but I just wanted to have more of a fundamental understanding first. Thank you!
Not to mention, image sensors are incredibly difficult to source. Long range wireless radios are a bit easier, but for me still difficult.
Does HN have any advice?
A very good friend mine works as a CPA for one of the big four accounting companies in San Francisco. The problem is she's been delegated to a dead-end role, and it seems like the company is just waiting for her to quit. I told her I'd reach out and see if anyone could give advice, or opportunities.
Is there a need for an in-house CPA in any of these tech companies? She has a range of talents including amazing people skills that would be very valuable to any company. Thanks!
Edit: She has around two years of experience.
http://goo.gl/mwUIeN