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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
2
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Accepted
Variational Autoencoder: balance KL-Divergence and ReconstructionLoss
Update: I already found the error. It was pretty silly actually. The point is that, when training VAEs, you should compute the sum error per each feature, and not the average as it's usual. This means …
2
votes
1
answer
4k
views
Variational Autoencoder: balance KL-Divergence and ReconstructionLoss
I'm facing some problems working with VAE. They are pretty similar than the ones at this thread: Balancing Reconstruction vs KL Loss Variational Autoencoder but I still have the problems and I don't r …
1
vote
0
answers
109
views
Hausdorff Distance with Manhattan Distance
I'm applying Hausdorff Distance to understand if two datasets are representing the same subset of the space of a particular problem. The point is that I've read the Hausdorff distance computes the Euc …