Semi-supervised training strategies for deep neural networks.
Matthew GibsonGary CookPuming ZhanPublished in: ASRU (2017)
Keyphrases
- semi supervised
- neural network
- training process
- training algorithm
- supervised learning
- feed forward neural networks
- feedforward neural networks
- pattern recognition
- neural network training
- artificial neural networks
- error back propagation
- deep architectures
- fully labeled
- unlabeled data
- semi supervised learning
- labeled data
- training set
- unsupervised learning
- training examples
- back propagation
- self organizing maps
- backpropagation algorithm
- supervised methods
- multi view
- fuzzy logic
- labeled examples
- data sets
- active learning
- multi layer perceptron
- co training
- recurrent neural networks
- training samples
- activation function
- support vector machine
- high dimensional
- semi supervised clustering
- deep learning
- neural nets
- recurrent networks
- neural network model
- neural network structure
- feature space
- decision trees
- multilayer neural network