Autoencoders
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Machine Learning
Unsupervised Learning
Interview questions on Unsupervised Learning.
31 questions
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Autoencoders
Q2. Is an autoencoder example of semi-supervised or self-supervised learning?
Autoencoders
Q3. Why do we need autoencoders?
Autoencoders
Q4. What is the expression of a linear autoencoder? Is it similar to PCA?
Autoencoders
Q5. What are the common loss functions used in training autoencoders?
Autoencoders
Q6. Can backpropagation be used to train autoencoders?
Autoencoders
Q7. What is the bottleneck layer in autoencoders, and what is its significance?
Autoencoders
Q8. Should the encoder and decoder have the same size in an autoencoder? Which one is typically deeper?
Autoencoders
Q9. What issues might arise if the decoder is deeper than the encoder in an autoencoder?
Autoencoders
Q10. What is the benefit of using tied weights in autoencoder model?
Autoencoders
Q11. What is an undercomplete and overcomplete autoencoders?
Autoencoders
Q12. Why are overcomplete autoencoders less commonly used in practice?
Autoencoders
Q13. Why do we need to regularize the autoencoders?
Autoencoders
Q14. What are different ways to regularize autoencoders?
Autoencoders
Q15. What do you mean by deep/stacked autoencoders?
Autoencoders
Q16. Why do we need sparsity in autoencoders?
Autoencoders
Q17. In sparse encoders do we regularize weights or activations of the network?
Autoencoders
Q18. How can we introduce sparsity constraint in autoencoders?
Autoencoders
Q19. What is denoising method in autoencoders?
Autoencoders
Q20. What are the benefits of denoising encoders?
Autoencoders
Q21. Define Contractive Autoencoders?
Autoencoders
Q22. What is the loss function in contractive autoencoders?
Autoencoders
Q23. State the difference between contractive autoencoders and denoising autoencoders.
Autoencoders
Q24. Is Variational Autoencoder(VAE) kind of Stochastic Autoencoders?
Autoencoders
Q25. State the difference between standard autoencoders and variational autoencoder(VAE)?
Autoencoders
Q26. What reconstruction function do we use in stochastic autoencoders?
Autoencoders
Q27. What is reparameterization trick in VAE?
Autoencoders
Q28. Why do we need reparameterization trick in VAE?
Autoencoders
Q29. What loss function we use in Variational Autoencoder(VAE)?
Autoencoders
Q30. How can we use autoencoders for classification task?
Autoencoders