Stochastic Backpropagation through Mixture Density Distributions.
Alex GravesPublished in: CoRR (2016)
Keyphrases
- back propagation
- artificial neural networks
- neural network
- feed forward
- heavy tailed
- gaussian distribution
- exponential family
- training algorithm
- neural nets
- hidden layer
- bp neural network
- learning algorithm
- feed forward neural networks
- probability density
- feedforward neural networks
- bp algorithm
- multilayer perceptron
- probability distribution
- neural network ensemble
- fuzzy logic
- backpropagation algorithm
- cascade correlation
- backpropagation neural network
- mixture model
- multilayer perceptron neural network
- dirichlet distribution
- activation function
- backpropagation neural networks
- levenberg marquardt
- radial basis
- random variables
- maximum likelihood
- density function
- multilayer neural network
- gaussian mixture model
- density estimation