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