Global Convergence of Three-layer Neural Networks in the Mean Field Regime.
Huy Tuan PhamPhan-Minh NguyenPublished in: CoRR (2021)
Keyphrases
- global convergence
- neural network
- coordinate ascent
- multi layer
- global optimum
- convergence speed
- convergence rate
- optimization methods
- convergence analysis
- convex minimization
- constrained optimization problems
- single layer
- artificial neural networks
- markov random field
- particle swarm
- back propagation
- fuzzy logic
- line search
- closed form
- em algorithm
- simulated annealing
- neural nets
- cost function
- newton method
- belief networks
- particle swarm optimization algorithm
- step size
- neural network model
- fixed point
- particle swarm optimization
- computational intelligence
- evolutionary algorithm
- search algorithm
- genetic algorithm