Regularizing Neural Networks via Stochastic Branch Layers.
Wonpyo ParkPaul Hongsuck SeoBohyung HanMinsu ChoPublished in: CoRR (2019)
Keyphrases
- neural network
- multi layer
- single layer
- pattern recognition
- artificial neural networks
- neural nets
- hopfield neural network
- stochastic optimization
- activation function
- multilayer perceptron
- monte carlo
- feed forward neural networks
- stochastic nature
- multiple layers
- feed forward
- neural network model
- self organizing maps
- fault diagnosis
- genetic algorithm
- fuzzy logic
- back propagation
- hidden layer
- learning algorithm
- database
- radial basis function
- gis data
- data mining
- stochastic programming
- computer vision
- learning automata
- stochastic model
- rough sets
- training algorithm
- fuzzy systems
- markov random field
- markov chain
- recurrent neural networks