Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks.
Loris NanniGianluca MaguoloAlessandra LuminiPublished in: CoRR (2021)
Keyphrases
- optimization problems
- discrete optimization
- optimization methods
- theoretical analysis
- times faster
- convolutional neural networks
- graph theory
- combinatorial optimization
- learning algorithm
- optimization approaches
- optimization algorithm
- orders of magnitude
- computational efficiency
- np hard
- global optimization
- recently developed
- significant improvement
- computational complexity
- objective function
- image segmentation
- data mining