Training Neural Networks with Stochastic Hessian-Free Optimization
Ryan KirosPublished in: ICLR (Poster) (2013)
Keyphrases
- neural network
- training algorithm
- training process
- stochastic optimization
- feedforward neural networks
- pattern recognition
- feed forward neural networks
- neural network training
- neural network structure
- back propagation
- global optimization
- optimization algorithm
- multi layer perceptron
- highly non linear
- backpropagation algorithm
- stochastic programming
- optimization process
- test set
- optimization problems
- fuzzy systems
- optimization method
- fault diagnosis
- online learning
- active learning
- hopfield neural network
- stochastic search
- artificial neural networks
- training set
- feature selection
- error back propagation
- training patterns
- stochastic gradient descent
- constrained optimization
- learning algorithm