Visualization and understanding of latent space

[ChenFengYe]

Related to #7. From mmdrahmani,

I also have another basic question. I would like to understand the latent dimension of VAE. I'd like to know what the model has learned. Essentially, I am assuming if we could visualize the latent dimension, different actions would be clustered in different locations of the latent space. For example see the figure attached, for my analysis on the latent dimension of a simple VAE using mnist data. As you can see, the 10 digits are clearly clustered. I hope this kind of analysis is possible with mld-vae. (maybe I should open a new issue?)