Reading questions
If you are unsure about any of these concepts, post a question on the
discussion forum!
- What is the relationship between an autoencoder (or autoassociator) and a regular feed-forward neural network?
- What is the reconstruction error?
- Why is training an autoencoder with more hidden units than input units not interesting?
- What is a denoising autoencoder?
- What is a contractive autoencoder?
- Why does it make sense to train a denoising autoencoder or a contractive autoencoder
with more hidden units than input units (unlike a regular autoencoder)?