>Yes, we do have a good idea of what goes on inside a NN trained on images
I'd love a source for this. The last time I checked I didn't find much. Sure we know the first few layers do stuff like edge detection. But the higher layers are much harder. And even if you know images are activating them, writing code that can accomplish the same task is much harder.
>It's just that NNs are rapidly moving ahead and maybe some time in the future both your statements will be true but today they are not.
The best NNs have already surpassed human accuracy at imagenet. That's insane! No one expected that result a few years ago. Yes object recognition isn't the only task in machine vision, but it's pretty representative.
I will do some digging for you tomorrow, it's 3:30 am and I really should get some sleep.
> Sure we know the first few layers do stuff like edge detection.
Yes, basic primitives.
> But the higher layers are much harder.
Well, those higher layers are built up out of the primitives the lower layers contain. So you get things that are conceptually easier to understand rather than harder.
> And even if you know images are activating them, writing code that can accomplish the same task is much harder.
That I completely agree with, I've basically gone that route in the last couple of months.
> The best NNs have already surpassed human accuracy at imagenet.
Yep. It's extremely impressive.
It's a watershed moment in the history of computing and half of us are still asleep or in denial. Which is fine by me. But please don't hype. It isn't magic and it isn't perfect - yet.
I'd love a source for this. The last time I checked I didn't find much. Sure we know the first few layers do stuff like edge detection. But the higher layers are much harder. And even if you know images are activating them, writing code that can accomplish the same task is much harder.
>It's just that NNs are rapidly moving ahead and maybe some time in the future both your statements will be true but today they are not.
The best NNs have already surpassed human accuracy at imagenet. That's insane! No one expected that result a few years ago. Yes object recognition isn't the only task in machine vision, but it's pretty representative.