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That was old AI.
New AI uses a complex, multi-layer sequence of Magic 8-balls.
Have you ever tried to follow five hundred nested for loop and if statements? Shit is nuts...
You don't have to be an AI developer to not understand your code. I not understand my code every day.
The human brain is far too complex to understand
looks inside
it's just meat
The brain isn't meat, it's fat, and is known to turn to soap under the right conditions. Which coincidentally also explains the soapy tiddy memes.
More accurately:
>looks inside
>matrix multiplication
Yes, 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
A transistor is on or off. It's all if-then.
Matrix multiplication, activation functions and softmax. Also some matrix addition sometimes. That's literally it
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 + m a few trillion times.


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