[FEAT] Training visualisations to compare real vs generated data

[pbezz1]

It would great if you could include some visualisation plots to show how the loss (cost) functions behave during training. One such visualisation can be a graph that illustrates the generator and discriminator loss with epochs/iterations on the x-axis.

These graphs would help evaluate the behaviour of the generator/discriminator models, such as to check for mode collapse and to compare real data distributions with generated data distributions.