A tensor-based approach for training flexible neural networks.
Yassine ZniyedKonstantin UsevichSebastian MironDavid BriePublished in: ACSCC (2021)
Keyphrases
- neural network
- training process
- training algorithm
- multi layer perceptron
- feedforward neural networks
- higher order
- feed forward neural networks
- artificial neural networks
- high order
- back propagation
- error back propagation
- neural network structure
- backpropagation algorithm
- fuzzy systems
- test set
- pattern recognition
- training examples
- data sets
- neural network training
- training set
- neural nets
- neural network model
- decision trees
- training samples
- trace norm
- machine learning
- tensor decomposition
- online learning
- tensor product
- genetic algorithm
- recurrent networks
- training patterns
- hopfield neural network
- medical images
- self organizing maps
- network architecture
- support vector machine
- fuzzy logic
- supervised learning
- dimensionality reduction
- recurrent neural networks
- multilayer perceptron