Hi

In the VAE example, we model binarized 28 x 28 pixel images from MNIST. For the d=2 case, is there a way to visualize the latent space such as here: https://blog.keras.io/building-autoencoders-in-keras.html .

I just think it is useful in general if the latent space can be visualized, other than looking at the negative log likelihood.

Thank you!