Block-cyclic stochastic coordinate descent for deep neural networks.
Kensuke NakamuraStefano SoattoByung-Woo HongPublished in: Neural Networks (2021)
Keyphrases
- neural network
- pattern recognition
- genetic algorithm
- feed forward
- fuzzy logic
- back propagation
- activation function
- multi layer
- recurrent neural networks
- neural network model
- artificial neural networks
- block wise
- self organizing maps
- stochastic optimization
- expert systems
- hopfield neural network
- learning automata
- block size
- monte carlo
- training process
- multi task
- logistic regression
- image compression
- decision trees
- machine learning