Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models.
Daniel T. ChangPublished in: CoRR (2021)
Keyphrases
- deep learning
- probabilistic model
- probabilistic neural networks
- deep belief networks
- unsupervised feature learning
- generative model
- graphical models
- unsupervised learning
- probabilistic neural network
- deep architectures
- neural network
- machine learning
- language model
- mixture model
- conditional random fields
- multilayer perceptron
- bayesian networks
- restricted boltzmann machine
- feed forward neural networks
- expectation maximization
- latent variables
- weakly supervised
- power distribution
- object recognition
- mental models
- data sets
- multiscale
- feature extraction