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< rcurtin> sure, happy to help :)
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< travis-ci> mlpack/mlpack#5374 (mlpack-3.0.3 - 9020211 : Ryan Curtin): The build passed.
< travis-ci> Change view : https://github.com/mlpack/mlpack/compare/24dd47f2371e^...902021123025
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< Atharva> sumedhghaisas: zoq: rcurtin: I experimented a bit with the learned latent space of the VAE model on MNIST and have some nice images. Should I put them on the Readme file of the vae folder and explain the project a bit?
< zoq> Atharva: Great idea!
< Atharva> one of the images
< Atharva> zoq: Okay then, I will do it.
< zoq> Atharva: Nice, excited to see more.
< Atharva> zoq: For now, I have just uploaded the images in my latest commit in the models PR, I will update the Readme too
< zoq> Atharva: allLatent looks really good
< Atharva> zoq: Yeah, in that image, out of the 10 latent variables, only 3, 4 and 8 have effect on the learned distribution. So in the 2dLatent image, I varied 3rd and 4th latent variable horizontally and vertically respectively.
< Atharva> The digits which aren't visible in 2dLatent are the ones that are dependent on the 8th latent variable.
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< zoq> ShikharJ: Thanks for the update, this week spanish?
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