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Deep Learning 5: Generative models
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Introduction
- definition
- probability examples
Density estimation
- maximum likelihood estimation
- cumulative distribution sampling
- histogram and kernel density estimators
- problematic densities
Divergence measures
- Kullback-Leibler divergence
- cross entropy
- optimal transport
Generative networks
- definition
- deep autoencoders
- variational autoencoders
- autoregressive approaches
#densityestimation #likelihood #deeplearning #divergence #crossentropy #kullbackleibler #optimaltransport #generative #autoencoder #autoregressive
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