That was old AI.
New AI uses a complex, multi-layer sequence of Magic 8-balls.
If statements are some of the largest sources of bugs in software.
You don’t have to be an AI developer to not understand your code. I not understand my code every day.
-Agent
More accurately:
>looks inside
>matrix multiplicationYes, it is inherently incorrect, I just think that increases the fun factor. It reminds me of that guy who wrote a prime-checker for his thesis and it was just a massive list of if-statement
98% accurate prime checker, super fast
isPrime() return False;
Max(input*weights, 0) is an if in a sense, I guess.
Good old ReLU. I’ve heard that CNN’s perform better when using ReLU as the activation func, and that’s probably why; ReLU acts as a filter on the image’s features.
Nah. Without a nonlinearity you just get a linear combination of inputs instead of the output of a deep neural network. ReLU or Ramp is just the simplest possible non linearity. Using a simple function can enable using deeper networks yielding even better performance.
It’s actually somewhat of a headache, numerically. Works well enough tho.
It’s just
y = k*x + ma few trillion times.Yes it’s not even for loop and if. Just multiplication and addition.
