Submitted by Difficult-Race-1188 t3_zagl50 in MachineLearning
Difficult-Race-1188 OP t1_iyluwu2 wrote
Reply to comment by Blakut in [D] Neural Networks are just a bunch of Decision Trees by Difficult-Race-1188
Even I don't know how VAE learn that. But recent paper that Neural networks can be written exactly like decision trees proved mathematically that NN are also decision tress but with added hyperspace.
Blakut t1_iylv3io wrote
from my understanding they introduce sampling of latent space, so when you decode, your parameters in latent space have a gaussian distro around a learned mean and sigma. This in turn, from what i gather, learns "in between" mappings in latent space.
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