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2 questions
0votes
1answer
308views
Does it make sense to train an Autoencoder for Dimensionality Reduction using Mini-Batch Gradient Descent?
I want to reduce the dimensionality of a dataset using a stacked Autoencoder. The size of the dataset and the computing power at my disposal make it very difficult to train the Network using simple, ...
- 6,435
4votes
1answer
2kviews
Intractability in Variational Autoencoders
I'm having difficulty understanding when integrals are intractable in variational inference problems. In a variational autoencoder with observation $x$ and latent variable $z$ we want to maximize data ...
- 231
