$latex \displaystyle \sum_{n=1}^\infty \frac{1}{n^2} = \frac{\pi^2}{6}&s=2 $
\displaystyle \sum_{n=1}^\infty \frac{1}{n^2} = \frac{\pi^2}{6}&s=2
$latex \displaystyle L2Loss= \sum (y-prediction(x))^2&s=2 $
\displaystyle L2Loss= \sum (y-prediction(x))^2&s=2
$latex f(z) = \frac{1}{1+ exp(-z)}&s=4 $
f(z) = \frac{1}{1+ exp(-z)}&s=4
$latex x=\frac{y-min}{max-min}&s=4 $
x=\frac{y-min}{max-min} &s=4
$latex (max-min)+min=y &s=2 $
(max-min)+min=y &s=2