Latent space refers to an abstract multi-dimensional space containing feature values that we cannot interpret directly,
but which encodes a meaningful internal representation of externally observed events.
The latent space is simply a representation of compressed data in which similar data points are closer together in space.
I plotted Latent Space on a 2D space and demonstrated how similar images are clustered in the latent space with Python model.
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The Python code is uploaded into [ Ссылка ]
