The Break-Even Point on Optimization Trajectories of Deep Neural Networks.
Stanislaw JastrzebskiMaciej SzymczakStanislav FortDevansh ArpitJacek TaborKyunghyun ChoKrzysztof J. GerasPublished in: CoRR (2020)
Keyphrases
- neural network
- optimization algorithm
- artificial neural networks
- pattern recognition
- optimization problems
- back propagation
- optimization process
- recurrent neural networks
- highly non linear
- neural nets
- neural network model
- global optimization
- optimization methods
- deep learning
- discrete optimization
- optimization method
- motion patterns
- multi layer
- self organizing maps
- optimization procedure
- phase space
- genetic algorithm