Can anyone please help me understand what is disentangled hierarchical representation?
I understand that disentangled representations are those in which each dimension represents only one property. For example, say we have pictures of digits where latent space representation Z has Z1 representing which number, Z2 representing slant and Z3 thickness.
However, I am not being able to understand what is disentanglement in case of hierarchical representation.
Topic representation deep-learning
Category Data Science