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Generative Stochastic Networks (GSNs)
A Generative Stochastic Network, or GSN, is a generative model with latent or hidden variables in the Markov chain, in addition to the ordinary visible random variables .
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Data Science
Related
Probabilistic rather than Deterministic
Discriminative Modeling
Why Generative Modeling ?
Quick Recap For Some Probability Concepts
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Learn After
Related
Probabilistic rather than Deterministic
Discriminative Modeling
Why Generative Modeling ?
Quick Recap For Some Probability Concepts
Representational Learning
Generative Modeling Architectures
David Foster's Generative Deep Learning
Deep Belief Networks (DBNs)
Evaluating Generative Models
Generative Adversarial Networks
Convolutional Generative Networks
Generative Model Example
How to generate samples from not complicated distributions using generator networks?
Generate samples from complicated distributions
Emitting the parameters of a conditional distribution versus directly emitting samples
Variations of generative models
Generative models
Difficulty of Generative Modeling Compared to Supervised Learning