Representation learnt by SGD and Adaptive learning rules - Conditions that Vary Sparsity and Selectivity in Neural Network.
Jinhyun ParkPublished in: CoRR (2022)
Keyphrases
- learning rules
- neural network
- artificial neural networks
- biologically inspired
- back propagation
- hybrid neural
- hopfield neural network
- sufficient conditions
- learning scheme
- neural network model
- sparsity constraints
- genetic algorithm
- learning algorithm
- high dimensional
- linear combination
- pattern recognition
- computer vision
- machine learning