An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions.
Amit DasMark Hasegawa-JohnsonPublished in: INTERSPEECH (2016)
Keyphrases
- neural network
- training process
- training algorithm
- backpropagation algorithm
- deep architectures
- feed forward neural networks
- feedforward neural networks
- multi layer perceptron
- neural network training
- artificial neural networks
- back propagation
- information theoretic
- recurrent networks
- training set
- probabilistic logic
- fuzzy logic
- pattern recognition
- training phase
- bayesian networks
- feed forward
- generative model
- posterior probability
- recurrent neural networks
- neural network structure
- genetic algorithm
- fault diagnosis
- test set
- training patterns
- probabilistic model
- information retrieval
- neural network model
- e learning
- expert systems
- deep learning
- supervised learning
- activation function
- training examples
- self organizing maps
- multi layer
- uncertain data
- multilayer perceptron