Dear-Vehicle-3215
Dear-Vehicle-3215 OP t1_iuvdyog wrote
Reply to comment by eyeswideshhh in [D] About the evaluation of the features extracted by an Autoencoder by Dear-Vehicle-3215
Thank you very much. It seems that VAE could be a nice choice for me.
Anyway, by plotting the cluster map it seems that there are several features higly correlated, but also a lots of feature with low correlation
Dear-Vehicle-3215 OP t1_iuvdmqs wrote
Reply to comment by i-heart-turtles in [D] About the evaluation of the features extracted by an Autoencoder by Dear-Vehicle-3215
Thank you very much for these pointers!
I will investigate
Dear-Vehicle-3215 OP t1_iuriai1 wrote
Reply to comment by eyeswideshhh in [D] About the evaluation of the features extracted by an Autoencoder by Dear-Vehicle-3215
I will try to check this, I didn't think about it.
The only way Clustering came to my mind was for extracting some clusters and then using them as a label to evaluate my features.
I am trying also to implement a penalization in the latent representation by applying the norm of the jacobian matrix, but since I see no one using it, I was thinking that was wrong in Convolutional AE (and also the paper use a different definition from the one that I am using).
Dear-Vehicle-3215 OP t1_iuren5w wrote
Reply to comment by agent229 in [D] About the evaluation of the features extracted by an Autoencoder by Dear-Vehicle-3215
Yes, I know that I can calculate the jacobian with autograd, but the problem is that in the paper they use a particular formulation given that they have sigmoid non-linearity https://ibb.co/8xGQkZ6.
Regarding MC and t-SNE, I will investigate.
Dear-Vehicle-3215 OP t1_je8zlsv wrote
Reply to comment by Maximus-CZ in [D] What do you think about all this hype for ChatGPT? by Dear-Vehicle-3215
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