Do optimization methods in deep learning applications matter?
Buse Melis OzyildirimMariam KiranPublished in: CoRR (2020)
Keyphrases
- optimization methods
- deep learning
- unsupervised learning
- optimization method
- optimization problems
- simulated annealing
- unsupervised feature learning
- machine learning
- optimization approaches
- stochastic methods
- weakly supervised
- mental models
- deep architectures
- evolutionary algorithm
- learning strategies
- object recognition
- stage stochastic programs
- efficient optimization
- multi objective
- active learning
- pattern recognition
- computer vision