Tag: kullback-leibler
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Some Statistical Properties of Mixture Density Networks
The author shares insights from a recent project on Mixture Density Networks (MDNs), highlighting their statistical foundations and applications. MDNs predict distribution parameters instead of deterministic outcomes and utilize neural networks for inference. The discussion emphasizes maximizing likelihood and Kullback-Leibler divergence, while acknowledging challenges in identifiability and assumptions necessary for model building.