Stochastic perturbation of subgradient algorithm for nonconvex deep neural networks.
Abdelkrim El MouatasimJosé Eduardo Souza de CursiRachid EllaiaPublished in: Comput. Appl. Math. (2023)
Keyphrases
- optimization algorithm
- dynamic programming
- neural network
- learning algorithm
- monte carlo
- objective function
- expectation maximization
- high accuracy
- detection algorithm
- linear programming
- probabilistic model
- np hard
- cost function
- pattern recognition
- computational cost
- preprocessing
- particle swarm optimization
- computational complexity
- segmentation algorithm
- training algorithm
- similarity measure
- energy function
- decision trees
- optimization method
- times faster
- convex hull
- stochastic approximation