Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace.
Yucong LiuShixing YuTong LinPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- back propagation
- multi layer
- learning automata
- artificial neural networks
- hopfield neural network
- stochastic processes
- stochastic optimization
- analytical expressions
- recurrent neural networks
- step size
- sample average approximation
- neural network is trained
- hessian matrix
- stochastic process
- training process
- neural nets
- monte carlo
- reinforcement learning
- genetic algorithm