### SimpleGAN
This generator is an implementation of the basic GAN principe.

Before training the data is scaled by $1 / \alpha$ where 
$$\alpha =\max( 1.0, 1.1 \cdot \max_{x \in data} \|x\|_\infty )$$
The generated points are scaled back by multiplying with $\alpha$.

The scaling is needed as the sibmoid function give value between -1 and 1.

\includegraphics{../SimpleGanGenerator.pdf}