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

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