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Chapter 17: Monte Carlo Methods
If you're reading Deep Learning Book, feel free to ask questions, discuss the material or share resources.
"the encoder and decoder distributions are not necessarily conditional distributions cmpatible with a unique joint distribution...", How to understand this exactly? (I only know that if two events are not compatible, then they can't happen at the same time)
Based on a review of the original paper by Lotter et al you are correct, the image labeled adversarial is in fact the ground truth, the image labeled ground truth is the MSE and the image labeled MSE is the adversarial. This struck me as odd as well.
For the figure 15.6 , I think that the image fot the 'Ground Truth' is actually for MSE, while the image for MSE is for 'Adversarial', and the image for 'Adversarial' is for the Ground Truth. ...
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discussion
Chapter 14: Autoencoders
If you're reading Deep Learning Book, feel free to ask questions, discuss the material or share resources.