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2 questions
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1answer
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Latent space vs Embedding space | Are they same?
I am going through variational autoencoders and it is mentioned that: continuity (two close points in the latent space should not give two completely different contents once decoded) and completeness ...
- 165
1vote
1answer
1kviews
Retain similarity distances when using an autoencoder for dimensionality reduction
I am trying to reduce the dimensionality of topic vectors (300, 1) to a two dimensional space. This has been done with various methods (e.g. t-SNE and autoencoders). A published example of reducing ...
- 119
