I have a problem to solve. I'm lost at generating a random data set for binary classification where each class correspond to the $2D$ region depicted in the figure below. The random data I must generate should have normal distribution with variance $\sigma^2 = 0.08$. I will use $200$ points ($100$ in each region) to train my nural network and report the results in terms of the loss function and the training epochs. New guy here Any tips will be welcomed!!